ECMA-379 3rd Edition / June 2010
Test Method for the Estimation of the Archival Lifetime of Optical Media
Reference number ECMA-123:2009
© Ecma International 2009
COPYRIGHT PROTECTED DOCUMENT
© Ecma International 2010
Contents
Page
Section 1 – General ............................................................................................................................................ 1 1
Scope ...................................................................................................................................................... 1
2
Conformance ......................................................................................................................................... 1
3
Normative references ............................................................................................................................ 2
4
Terms and definitions ........................................................................................................................... 2
5 5.1 5.2
Conventions and notations .................................................................................................................. 3 Representation of numbers .................................................................................................................. 3 Names ..................................................................................................................................................... 3
6
List of acronyms .................................................................................................................................... 4
Section 2 – Test and Evaluation ....................................................................................................................... 5 7 7.1 7.1.1 7.1.2 7.1.3 7.1.4 7.1.5 7.2 7.3 7.3.1 7.3.2 7.4 7.4.1 7.4.2 7.4.3 7.5
Measurements ....................................................................................................................................... 5 Summary ................................................................................................................................................ 5 Stress Incubation and Measuring ........................................................................................................ 5 Assumptions .......................................................................................................................................... 5 Error Rate ............................................................................................................................................... 5 Data Quality ............................................................................................................................................ 6 Regression ............................................................................................................................................. 6 Test specimen ........................................................................................................................................ 6 Recording conditions............................................................................................................................ 6 Recording test environment ................................................................................................................. 6 Recording method ................................................................................................................................. 7 Playback conditions .............................................................................................................................. 7 Playback tester ...................................................................................................................................... 7 Playback test environment ................................................................................................................... 7 Calibration .............................................................................................................................................. 7 Disk testing locations ........................................................................................................................... 7
8 8.1 8.2 8.2.1 8.2.2 8.2.3 8.2.4 8.3 8.4 8.5
Accelerated stress test ......................................................................................................................... 8 General ................................................................................................................................................... 8 Stress conditions .................................................................................................................................. 8 General ................................................................................................................................................... 8 Temperature (T) ..................................................................................................................................... 9 Relative humidity (RH) .......................................................................................................................... 9 Incubation and Ramp Profiles .............................................................................................................. 9 Measuring Time intervals ................................................................................................................... 10 Stress Conditions Design ................................................................................................................... 10 Media Orientation ................................................................................................................................ 11
9 9.1 9.2 9.3
Data Evaluation.................................................................................................................................... 11 Time-to-failure ...................................................................................................................................... 11 Eyring acceleration model (Eyring Method) ..................................................................................... 11 Data analysis ........................................................................................................................................ 12
Annex A (normative) Data Analysis Steps Outline for Calculation of Media Life ...................................... 13 Annex B (normative) Analysis for Calculation of Media Life ....................................................................... 15 Annex C (normative) Uncontrolled Ambient Condition Media Life Calculation ......................................... 25 Annex D (informative) Truncated Test Method (Determination of Media Life Lower Bound) ................... 27
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Annex E (informative) Relation between BER and PI Sum 8 ........................................................................31 Bibliography ......................................................................................................................................................33
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Introduction Markets and industry have developed the common understanding that the property referred to as the archival life of data recorded to optical media plays an increasingly important role for the intended applications. The existing standard test methodologies for recordable media include Magneto Optical media and recordable compact disk systems. It was agreed that the project represented by this document be undertaken in order to provide a methodology that includes the testing of newer, currently available products. The Optical Storage Technology Association (OSTA) initiated work on this subject and developed the initial drafts. Following that development, the project was moved to Ecma International TC31 for further development and finalization. OSTA and Ecma wish to thank the members and organizations in NIST, CDs21 Solutions, and DCAj for their support of the development of this document. ECMA-379 1st Edition was fast-tracked to ISO/IEC JTC 1 in August 2007 and during this process, its editorial content was slightly modified. The approved ISO/IEC IS 10995 Standard was published by ISO/IEC in April 2008. ECMA-379 2nd Edition is technically identical with the published ISO/IEC Standard IS 10995 1st Edition. ECMA-379 3rd Edition is editorial amendment including corrections of some calculations, and Bootstrap method was deleted. Although Bootstrap method has no problem in itself, however, miscalculation might be caused depending on the data set conditions.
This Ecma Standard has been adopted by the General Assembly of June 2010.
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Test Method for the Estimation of the Archival Lifetime of Optical Media
Section 1 – General 1
Scope
This Ecma Standard specifies an accelerated aging test method for estimating the life expectancy of the retrievability of information stored on recordable or rewritable optical disks. This test includes details on the following formats: DVD-R/-RW/-RAM, +R/+RW. It may be applied to additional optical disk formats with the appropriate specification substitutions and may be updated by committee in the future as required. This document includes; −
stress conditions
−
assumptions
−
ambient conditions −
Controlled storage condition, e.g. 25 °C and 50 % RH, using the Eyring model
−
Uncontrolled storage condition, e.g. 30 °C and 80 % RH, using the Arrhenius model
−
evaluation system description
−
specimen preparation
−
data acquisition procedure
−
data interpretation
The methodology includes only the effects of temperature (T) and relative humidity (RH). It does not attempt to model degradation due to complex failure mechanism kinetics, nor does it test for exposure to light, corrosive gases, contaminants, handling, and variations in playback subsystems. Disks exposed to these additional sources of stress or higher levels of T and RH are expected to experience shorter usable lifetimes.
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Conformance
Media tested by this methodology shall conform to all normative references specific to that media format.
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3
Normative references
The following referenced documents are indispensable for the application of this document. For dated references, only the edition cited applies. For undated references, the latest edition of the referenced document (including any amendments) applies. ECMA-267, 120 mm DVD - Read-Only Disk, 3rd edition (ISO/IEC 16448:2002) ECMA-268, 80 mm DVD – Read-Only Disk, 3rd edition (ISO/IEC 16449:2002) ECMA-330, 120 mm (4,7 Gbytes per side) and 80 mm (1,46 Gbytes per side) DVD Rewritable Disk (DVDRAM), 3rd edition (ISO/IEC 17592:2004) ECMA-337, 120 mm and 80 mm - Optical Disk using +RW Format – Capacity: 4,7 and 1,46 Gbytes per side (Recording speed up to 4X), 3rd edition (ISO/IEC 17341:2006) ECMA-338, 80 mm (1,46 Gbytes per side) and 120 mm (4,70 Gbytes per side) DVD Re-recordable Disk (DVD-RW) (ISO/IEC 17342:2004) ECMA-349, 120 mm and 80 mm Optical Disk using +R Format – Capacity: 4,7 and 1,46 Gbytes per Side (Recording speed up to 16X), 3rd edition (ISO/IEC 17344:2006) ECMA-359, 80 mm (1,46 Gbytes per side) and 120 mm (4,70 Gbytes per side) DVD Recordable Disk (DVDR) (ISO/IEC 23912:2005) ECMA-364, 120 mm and 80 mm Optical Disk using +R DL Format – Capacity: 8,55 and 2,66 Gbytes per Side (Recording speed up to 8x), 2nd edition (ISO/IEC 25434:2007) ECMA-371, 120 mm and 80 mm Optical Disk using +RW HS Format – Capacity: 4,7 and 1,46 Gbytes per Side (Recording speed 8X) (ISO/IEC 26925:2006) ECMA-374, 120 mm and 80 mm Optical Disk using +RW DL Format – Capacity: 8,55 and 2,66 Gbytes per Side (Recording speed 2,4x) (ISO/IEC 29642:2007) ECMA-382, 120 mm (8,54 Gbytes per side) and 80 mm (2,66 Gbytes per side) DVD Recordable Disk for Dual Layer (DVD-R for DL) (ISO/IEC 12862:2009) ECMA-384, 120 mm (8,54 Gbytes per side) and 80 mm (2,66 Gbytes per side) DVD re-recordable disk for dual layer (DVD-RW for DL) (ISO/IEC 13170: 2009) ISO 18927:2002, Imaging materials – Recordable compact disc systems – Method for estimating the life expectancy based on the effects of temperature and relative humidity
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Terms and definitions
For the purposes of this document, the following terms and definitions apply. 4.1 archival (lifetime) ability of a medium or system to maintain the retrievability of recorded information for a specified extended period of years 4.2 Arrhenius method accelerated aging model based on the effects of temperature
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4.3 baseline initial test analysis measurements (e.g., initial error rate) after recording and before exposure to a stress condition; measurement at stress time t=0 hours 4.4 Eyring method accelerated aging model based on the effects of temperature and relative humidity 4.5 error rate rate of errors on the sample disk measured before error correction is applied 4.6 incubation process of enclosing and maintaining controlled test sample environments 4.7 life expectancy (LE) length of time estimation that information is predicted to be retrievable in a system while in a specified environmental condition 4.8 maximum error rate maximum of the error rate measured anywhere in one of the relevant areas on the disk. NOTE 1
for DVD-R/RW and +R/+RW, this is the Maximum PI Sum 8, for DVD-RAM, this is the Maximum BER.
4.9 retrievability ability to recover physical information as recorded 4.10 stress temperature and relative humidity variables to which the sample is exposed for the duration of test incubation intervals 4.11 system combination of hardware, software, storage medium and documentation used to record, retrieve and reproduce information
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Conventions and notations
5.1 Representation of numbers A measured value is rounded off to the least significant digit of the corresponding specified value. For instance, it implies that a specified value of 1,26 with a positive tolerance of + 0,01 and a negative tolerance of - 0,02 allows a range of measured values from 1,235 to 1,275.
5.2 Names The names of entities, e.g. specific tracks, fields, zones, etc. are given a capital initial.
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List of acronyms
BER
byte error rate
LE life expectancy PI
4
parity (of the) inner (code)
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Section 2 – Test and Evaluation 7
Measurements
7.1 Summary 7.1.1
Stress Incubation and Measuring
A sampling of disks will be measured at 4 stress conditions plus a control disk at room ambient condition. A minimum number of 20 disks will be included as a group for each stress condition as shown in Table 2. Each stress condition’s total time will be divided into interval time periods. Each disk in each group of disks will have their initial error rates measured before their exposure to stress conditions. Thereafter, each disk will be measured for its error rate after each stress condition incubation time interval. The control disk will also be measured following each incubation time interval. 7.1.2
Assumptions
This Standard makes the following assumptions for applicability of media to be tested −
specimen life distribution is appropriately modeled by a statistical distribution,
−
the Eyring model can be used to model acceleration with the two both stresses involved (temperature and relative humidity),
−
the dominant failure mechanism acting at the usage condition is the same as that at the accelerated conditions,
−
the compatibility of the disk and drive combination will affect the disk’s initial recording quality and the resulting archival test outcome,
−
a hardware and software system needed to read the disk will be available at the time the retrievability of the information is attempted,
−
the recorded format will be recognizable and interpretable by the reading software.
7.1.3
Error Rate
Of all specimen media the Error rate shall be measured in the disk testing locations as defined in 7.5. For each sample the Maximum error rate shall be determined. Each DVD-R/RW, +R/+RW disk will have its maximum PI Sum 8 (Max PI Sum 8 ) determined. Each DVD-RAM disk will have its maximum byte error rate (Max BER) determined. Other disk formats not referenced in this document will have the maximum of their defined error rates determined. Data collected at each time interval for each individual disk are then used to determine the estimated lifetime for that disk at that stress condition.
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7.1.3.1
PI Sum 8
Per ISO/IEC 16448:2002, a row in an ECC block that has at least 1 byte in error constitutes a PI error. PI Sum 8 is measured over 8 ECC blocks. In any 8 consecutive ECC blocks the total number of PI errors, also called PI Sum 8, before error correction shall not exceed 280. 7.1.3.2
BER
The number of erroneous symbols shall be measured at any in consecutive 32 ECC blocks in the first pass of the decoder before correction. The BER is the number of erroneous symbols divided by the total number of symbols included in the 32 consecutive ECC blocks. The maximum value of the BER measured over the area specified in 7.5 shall not exceed 10-3 (See Annex E). 7.1.4
Data Quality
Data quality is checked by plotting the median rank of the estimated time to failure values with a best fit line for each stress condition. The lines are then checked for reasonable parallelism. 7.1.5
Regression
The mean lifetimes are regressed against temperature and relative humidity according to an Eyring acceleration model.
7.2 Test specimen The disk sample set shall represent the construction, materials, manufacturing process, quality and variation of the final process output. Consideration shall be made to shelf life. Disks with longer shelf time before recording and testing may impact test results. Shelf time shall be representative of normal usage shelf time.
7.3 Recording conditions Before entering media are entered into accelerated aging tests, they shall be recorded as optimally as is practicable, according to the descriptions given in the related standard. OPC (optimum power control) during the writing process shall serve as the method to achieve recorded media minimum error rates. It is generally understood that optimally recorded media will yield the longest predicted life results. Media is deemed acceptable for entry into the aging tests when its error rate and all other media parametric specifications are found to be within its respective standard’s specification limits. Recording hardware is at the discretion of the recording party. It may be either commercial drive-based or specialty recording tester based. It shall be capable of producing recordings that meet all specifications. The maximum recording speed shall be at the media’s highest rated speed and this speed shall be reported. 7.3.1
Recording test environment
When performing the recordings, the air immediately surrounding the media shall have the following properties: temperature:
23 °C to 35 °C
relative humidity:
45 % to 55 %
atmospheric pressure: 60 kPa to 106 kPa
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No condensation on the disk shall occur. Before testing, the disk shall be conditioned in this environment for 48 h minimum. It is recommended that, before testing, the entrance surface be cleaned according to the instructions of the manufacturer of the disk. 7.3.2
Recording method
Specimen disks shall be recorded in a single session and finalized.
7.4 Playback conditions 7.4.1
Playback tester
All media shall be read by the playback tester as specified in each of that medium’s standard or equivalent, and at their specified test conditions. Specimen media shall be read as described in the format standards identified in Clause 3. 7.4.2
Playback test environment
When measuring the error rates, the air immediately surrounding the disk shall have the following properties: temperature:
23 °C to 35 °C
relative humidity:
45 % to 55 %
atmospheric pressure: 60 kPa to 106 kPa Unless otherwise stated, all tests and measurements shall be made in this test environment. 7.4.3
Calibration
The test equipment should be calibrated as prescribed by its manufacturer using calibration disks approved by said manufacturer and as needed before disk testing. A control disk should be maintained at ambient conditions and its error rate measured at the same time the stressed disks are measured initially and after each stress interval. The mean and standard deviation of the control disk shall be established by collecting at least five measurements. Should any individual error rate reading differ from the mean by more than three times the standard deviation, the problem shall be corrected and all data collected since the last valid control point shall be re-measured.
7.5
Disk testing locations
Testing locations shall be a minimum of three bands spaced evenly from the inner, middle and outer radius locations on the disk as indicated in Table 1. The total testing area shall represent a minimum of 5 % of the disk capacity. Each of the three test bands shall have more than 750 ECC Blocks for 80 mm disks, and 2 400 ECC Blocks for 120 mm disks.
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Table 1 — Nominal radii of the three test bands (Unit; mm) DVD-R/RW, +R/+RW disk DVD-RAM disk (Single Layer / Dual Layer)
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80mm
120mm
80mm
120mm
Band 1
25,0
25,0
24,1-25,0
24,1-25,0
Band 2
30,0
40,0
29,8-30,8
39,4-40,4
Band 3
35,0
55,0
34,6-35,6
54,9-55,8
Accelerated stress test
8.1 General Information properly recorded on an archival quality optical disk should have a life expectancy exceeding a predetermined number of years. Accelerated aging studies are used in order to conclude that a life expectancy exceeds the predetermined minimum number of years. This test plan is intended to provide the information necessary to satisfactorily evaluate the particular optical disk system including proposed archival quality optical disks.
8.2 Stress conditions 8.2.1
General
Stress conditions for this test method are increases in temperature and relative humidity. The stress conditions are used to accelerate the chemical reaction rate from what would occur normally at ambient or usage conditions. The chemical reaction is considered degradation in desired material property that eventually leads to disk failure. Four stress conditions and the minimum number of specimens for those stress conditions that shall be used are shown in Table 2. Additional specimens and conditions may be used if desired for improved precision. The total time for each stress condition as given in Table 2 is divided into four equal incubation durations. The temperature and relative humidity during each incubation cycle shall be controlled as depicted in Table 3 and Figure 1. After each cycle of incubation all specimens shall be measured. Table 2 — Stress conditions for use with the Eyring Method Test cell number
Test stress condition (incubation)
Number of specimens
Incubation duration
Minimum
Intermediate RH
Minimum equilibration duration
Total time
8
Temp (°C)
%RH
hours
hours
%RH
hours
1a
85
85
2a
85
70
20
250
1 000
30
7
20
250
1 000
30
6
3a
65
85
20
500
2 000
35
9
4a
70
75
30
625
2 500
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8.2.2
Temperature (T)
The temperature levels chosen for this test plan are based on the following: −
there shall be no change of phase within the test system over the test-temperature range. This restricts the temperature to greater than 0 °C and less than 100 °C,
−
the temperature shall not be so high that plastic deformation occurs anywhere within the disk structure.
The typical substrate material for media is polycarbonate (glass transition temperature 〜150 °C). The glass transition temperature of other layers may be lower. Experience with high-temperature testing of DVDs and +R/+RW disks indicates that an upper limit of 85 °C is practical for most applications. 8.2.3
Relative humidity (RH)
Experience indicates that 85 % RH is the generally accepted upper limit for control within most accelerated test cells. 8.2.4
Incubation and Ramp Profiles
The relative humidity transition (ramp) profile is intended to avoid moisture condensation within the substrate, minimize substantial moisture gradients in the substrate and to end at ramp down completion with the substrate equilibrated to ambient condition. This is accomplished by varying the moisture content of the chamber only at the stress incubation temperature, and allowing sufficient time for equilibration during rampdown based on the diffusion coefficient of water in polycarbonate. Table 3 — T and RH transition (ramp) profile for each incubation cycle Process step
Temperature
Relative humidity
Duration
°C
%
hours
Start
at Tamb
at RHamb
—
T, RH ramp
to Tinc
to RHint
1,5 ± 0,5
RH ramp
at Tinc
to RHinc
1,5 ± 0,5
Incubation
at Tinc
at RHinc
See Table 2
RH ramp
at Tinc
to RHint
1,5 ± 0,5
Equilibration
at Tinc
at RHint
See Table 2
T, RH ramp
to Tamb
to RHamb
1,5 ± 0,5
end
at Tamb
at RHamb
—
amb = room ambient T or RH (Tamb or RHamb) inc
= stress incubation T or RH (Tinc or RHinc)
int
= intermediate relative humidity (RHint) that at Tinc supports the same equilibrium moisture absorption in polycarbonate as that supported at Tamb and RHamb
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Process step
Temperature (℃)
RH Ramp
Incubation
RH Ramp
Equilibration
Relative Humidity (%) (RH)
T,RH Ramp
T,RH Ramp
Temp. RH
End
Start
Time (Hour) Figure 1 — Graph of typical transition (ramp) profile
8.3 Measuring Time intervals For data collection, PI Sum 8 (DVD–R, DVD–RW, +R, +RW), or BER (DVD-RAM) measurements for each disk will occur: 1) before disk exposure to any stress condition to determine its baseline measurement and 2) after each cycle of incubation. The length of time for intervals is dependent on the severity of the stress condition. Using each disk's regression equation, the failure time for each disk shall then be computed for the stress condition it was exposed to.
8.4 Stress Conditions Design Table 2 specifies the temperatures, relative humidities, time intervals, minimum total test time, and minimum number of specimens for each stress condition. A separate group of specimens is used for each stress condition. All temperatures may deviate ±2 °C of the target temperature; all relative humidities may deviate ±3 % RH of the target relative humidity. The intermediate relative humidity (RHint) in Table 2 is calculated assuming 25 °C and 50 % RH ambient conditions. If the ambient is different, the intermediate relative humidity to be used is calculated using the equation:
RH int =
0,24 + 0,0037 × Tamb × RH amb 0,24 + 0,0037 × Tinc
where: Tamb and Tinc are the ambient and incubation temperature in units of °C; RHamb is the ambient relative humidity; RHint is the intermediate relative humidity. The stress conditions tabulated in Tables 2 and 3 offer sufficient combinations of temperature and relative humidity to satisfy the mathematical requirements of the Eyring model to demonstrate linearity of either Max
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PI Sum 8, or Max BER or their logs respectively, versus time, and to produce a satisfactory confidence level to make a meaningful conclusion.
8.5 Media Orientation Media subjected to this test method shall be maintained in a vertical position with a minimum of 2 mm separation between disks to allow air flow between disks and to minimize deposition of debris on disk surfaces which could negatively influence the error rate measurements.
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Data Evaluation
9.1 Time-to-failure All disks subjected to stress conditions shall have their time-to-failure calculated at the stress condition they have been subjected to. Failure criteria values are: Max PI Sum 8 exceeding 280 for DVD-R/RW, +R/+RW, and Max BER exceeding 10-3 for DVD-RAM. Material degradation manifests itself as data errors in the disk, providing a relationship between disk errors and material degradation. The chemical changes are generally expected to cause test data to have a distribution that follows an exponential function over time. Therefore, test data values of: PI Sum 8 or BER as a function of time are expected to exhibit an exponential distribution. The best function fitting an error trend can be found by regression of the test data against time, for example, with a least squares fit. The time-to-failure per disk type can be calculated using the error trend function and the failure criteria.
9.2 Eyring acceleration model (Eyring Method) Using the Eyring model, the following equation is derived from the laws of thermodynamics and can be used to handle the two critical stresses of temperature and relative humidity.
t = AT a e ΔH / kT e ( B + C / T )× RH where t A Ta ΔH k T B, C RH
is the time to failure; is the pre-exponential time constant; is the pre-exponential temperature factor; is the activation energy per molecule; is the Boltzmann's constant (1,3807 × 10-23 J/molecule degree K); is the temperature (in Kelvin); are the RH exponential constants; is the relative humidity;
For the temperature range used in this test method, “a” and “C” shall be set to zero. The Eyring model equation then reduces to the following:
t = Ae ΔH / kT e B× RH , or ln(t ) = ln( A) +
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ΔH + B × RH kT
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9.3 Data analysis Data Analysis is contained in the following Annexes: Annex A:
Data Analysis Steps Outline for Calculation of Media Life
Annex B:
Analysis for Calculation of Media Life
Annex C:
Uncontrolled Ambient Condition Media Life Calculation
Annex D:
Truncated Test Method (Determination of Media Life Lower Bound)
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Annex A (normative) Data Analysis Steps Outline for Calculation of Media Life
The following is an outline of steps to estimate the life expectancy value, as a function of ambient temperature and relative humidity, and used to determine if a disk will or will not exceed a life expectancy of X-years. 1.
For each specimen, compute (via linear regression), the predicted time-to-failure.
2.
(Steps 2 and 3 are for data quality check) For each stress condition, determine the median rank of each specimen, and plot the median rank versus time-to-failure on a lognormal graph.
3.
Verify that the plots for all stress conditions are reasonably parallel to one another.
NOTE
In the case where the plots are not determined to be reasonably parallel, 7.1.2 Assumptions shall be checked.
4.
Using the reduced Eyring equation, carry out a least squares fit to the log failure times across all specimens and stress conditions.
5.
Calculate acceleration factors for each stress condition.
6.
For the ambient condition, calculate normalized time-to-failure for each disk.
For the ambient condition, calculate 95 % survival probability with 95 % confidence for lifetime.
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Annex B (normative) Analysis for Calculation of Media Life
Step 1
Determine the time-to-failure for each specimen at the stress applied following the procedure as described below. Error rates to be measured are as defined in 7.1.3: For DVD-R/-RW, +R/+RW: For DVD-RAM:
PI Sum 8 BER
Use the initial error rate measured prior to accelerated aging plus the error rates measured after each specified accelerated aging incubation interval. For each specimen a linear regression is performed with the ln (measured error rates), as the dependent variable and time as the independent variable. The time-to-failure of the specimen is calculated from the slope and intercept of the regression as the time at which the specimen would have a Max BLER of 220, or a Max PI Sum 8 of 280, or a Max BER of 10-3. For example data, a purely hypothetical data set was generated. These values were completely fabricated for this assumption. The data is offered solely as an example of the mathematical methodology used in this test procedure. Table B.1 — Estimated time to failure for example data Group 1a Disk # A1 A2 A3 A4 A5 A6 A7 A8 A9 A10 A11 A12 A13 A14 A15 A16 A17 A18 A19 A20
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0
250
16 25 26 26 27 21 26 31 24 12 28 24 35 19 28 27 18 26 26 31
78 64 94 111 89 111 121 108 118 85 111 136 76 53 88 68 87 109 111 91
85°C/85%RH Hours 500 750 116 134 190 247 185 207 274 223 285 178 167 267 265 112 158 120 176 238 253 206
278 342 335 343 246 567 589 315 723 312 312 444 567 278 308 263 302 421 378 367
1 000
Hours to Failure
445 532 642 718 466 896 781 745 754 988 771 719 610 534 654 432 558 641 638 728
788 743 685 647 762 607 588 654 578 669 671 614 626 778 704 807 723 645 649 656
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Group 2a Disk # B1 B2 B3 B4 B5 B6 B7 B8 B9 B10 B11 B12 B13 B14 B15 B16 B17 B18 B19 B20
0
250
10 8 12 20 32 21 21 22 25 17 28 8 10 23 28 25 20 22 13 10
20 20 26 43 45 37 30 26 46 38 58 15 27 54 39 53 43 26 38 19
Group 3a Disk # C1 C2 C3 C4 C5 C6 C7 C8 C9 C10 C11 C12 C13 C14 C15 C16 C17 C18 C19 C20
16
0
500
14 10 11 18 17 10 31 29 22 29 21 24 28 19 25 10 21 12 28 29
23 17 56 28 45 14 53 54 32 36 38 45 57 47 65 18 34 20 56 36
85°C/70%RH Hours 500 750
1 000
Hours to Failure
112 84 185 166 103 222 155 125 182 179 120 144 175 148 172 130 166 172 124 121
156 188 421 219 267 368 221 267 224 378 268 189 385 221 278 188 256 229 189 268
1 117 1 118 880 999 1 126 870 1 035 1 043 994 911 1 065 1 059 880 1 037 959 1 149 999 1 058 1 078 1 046
65°C/85%RH Hours 1 000 1 500
2 000
Hours to failure
278 263 189 243 189 231 211 218 126 188 227 211 190 150 256 178 121 176 243 238
2 057 1 948 2 078 2 106 2 167 2 031 2 151 2 128 2 799 2 297 2 075 2 236 2 352 2 486 1 972 2 189 2 845 2 308 2 001 2 207
67 47 72 120 76 104 89 72 124 67 88 36 89 111 125 88 75 50 78 28
58 55 88 78 78 45 111 106 65 78 89 68 78 61 89 57 45 34 108 57
112 165 138 117 143 154 156 154 89 145 148 134 132 117 184 113 98 112 176 143
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Group 4a Disk # D1 D2 D3 D4 D5 D6 D7 D8 D9 D10 D11 D12 D13 D14 D15 D16 D17 D18 D19 D20 D21 D22 D23 D24 D25 D26 D27 D28 D29 D30
0
625
25 25 7 10 5 5 22 12 22 23 11 15 19 18 22 18 22 18 11 12 14 20 11 17 11 17 21 20 15 10
34 93 23 20 20 15 34 17 34 27 20 18 21 22 26 18 26 27 32 56 34 23 16 24 25 24 39 28 21 34
70°C/75%RH Hours 1 250 1 875 64 134 97 56 78 52 67 56 67 54 41 43 38 86 73 29 93 56 44 66 54 25 27 25 22 25 63 45 38 54
92 154 103 89 132 112 132 78 132 121 87 88 82 178 145 66 145 88 97 124 77 50 54 58 62 70 78 111 65 96
2 500
Hours to failure
167 211 178 155 187 167 188 108 189 152 115 118 135 245 252 127 178 134 143 249 112 181 160 108 130 123 163 243 134 176
3 240 2 596 2 615 2 920 2 496 2 644 2 851 3 318 2 847 3 129 3 249 3 343 3 435 2 456 2 582 3 649 2 761 3 316 3 051 2 550 3 500 3 593 3 275 4 034 3 488 3 707 3 304 2 787 3 453 2 841
Step 2
For each stress condition, specimens are ordered by increasing time-to-failure values. The median rank of the specimens is calculated using the estimate (i −0,3)/(n+0,4), where i is the time-tofailure order and n is the total number of specimens at the stress condition. The data can be plotted in different ways. If lognormal graph paper is employed, the data is plotted with timeto-failure on the abscissa and median rank on the ordinate. NOTE On most lognormal graph paper, the actual ordinate scale is the probability of failure; the median rank is converted to the probability of failure by multiplying by 100.
If linear axes are desired, the data can be linearized by plotting the critical value for the normal cumulative distribution of the median rank on the ordinate and the natural logarithm of the time-to-failure on the abscissa. The critical value for the normal cumulative distribution of the median rank is the value of t for which F (t) (the cumulative distribution function) equals the median rank.
© Ecma International 2010
17
Table B.2 — Median rank and the critical value for estimated time to failure Group 1a ascending order number
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
Disk # A9 A7 A6 A12 A13 A18 A4 A19 A8 A20 A10 A11 A3 A15 A17 A2 A5 A14 A1 A16
0
250
Hours 500
24 26 21 24 35 26 26 26 31 31 12 28 26 28 18 25 27 19 16 27
118 121 111 136 76 109 111 111 108 91 85 111 94 88 87 64 89 53 78 68
285 274 207 267 265 238 247 253 223 206 178 167 190 158 176 134 185 112 116 120
750
85°C/85%RH Hours to 1 000 Failure(H)
723 589 567 444 567 421 343 378 315 367 312 312 335 308 302 342 246 278 278 263
754 781 896 719 610 641 718 638 745 728 988 771 642 654 558 532 466 534 445 432
median Group 2a order Disk # number 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
B6 B3 B13 B10 B15 B9 B4 B17 B7 B14 B8 B20 B18 B12 B11 B19 B1 B2 B5 B16
0
250
Hours 500
21 12 10 17 28 25 20 20 21 23 22 10 22 8 28 13 10 8 32 25
37 26 27 38 39 46 43 43 30 54 26 19 26 15 58 38 20 20 45 53
104 72 89 67 125 124 120 75 89 111 72 28 50 36 88 78 67 47 76 88
median rank
critical value
578 588 607 614 626 645 647 649 654 656 669 671 685 704 723 743 762 778 788 807
6,3596 6,3767 6,4085 6,4200 6,4394 6,4693 6,4723 6,4754 6,4831 6,4862 6,5058 6,5088 6,5294 6,5568 6,5834 6,6107 6,6359 6,6567 6,6695 6,6933
0,034 0,083 0,132 0,181 0,230 0,279 0,328 0,377 0,426 0,475 0,525 0,574 0,623 0,672 0,721 0,770 0,819 0,868 0,917 0,966
-1,821 -1,383 -1,115 -0,910 -0,738 -0,585 -0,444 -0,312 -0,185 -0,061 0,061 0,185 0,312 0,444 0,585 0,738 0,910 1,115 1,383 1,821
663
6,4960
median rank
critical value
0,034 0,083 0,132 0,181 0,230 0,279 0,328 0,377 0,426 0,475 0,525 0,574 0,623 0,672 0,721 0,770 0,819 0,868 0,917 0,966
-1,821 -1,383 -1,115 -0,910 -0,738 -0,585 -0,444 -0,312 -0,185 -0,061 0,061 0,185 0,312 0,444 0,585 0,738 0,910 1,115 1,383 1,821
750
85°C/70%RH Hours to ascending 1 000 Failure(H) ln(H)
222 185 175 179 172 182 166 166 155 148 125 121 172 144 120 124 112 84 103 130
368 421 385 378 278 224 219 256 221 221 267 268 229 189 268 189 156 188 267 188
median
18
ascending ln(H)
870 880 880 911 959 994 999 999 1 035 1 037 1 043 1 046 1 058 1 059 1 065 1 078 1 117 1 118 1 126 1 149
6,7685 6,7799 6,7799 6,8145 6,8659 6,9017 6,9068 6,9068 6,9422 6,9441 6,9499 6,9527 6,9641 6,9651 6,9707 6,9829 7,0184 7,0193 7,0264 7,0466
1 040
6,9470
© Ecma International 2010
Table B.2 — Median rank and the critical value for estimated time to failure (continued) Group 3a order Disk # number 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
C2 C15 C19 C6 C1 C11 C3 C4 C8 C7 C5 C16 C20 C12 C10 C18 C13 C14 C9 C17
0
500
Hours 1 000
10 25 28 10 14 21 11 18 29 31 17 10 29 24 29 12 28 19 22 21
17 65 56 14 23 38 56 28 54 53 45 18 36 45 36 20 57 47 32 34
55 89 108 45 58 89 88 78 106 111 78 57 57 68 78 34 78 61 65 45
1 500
65°C/85%RH Hours to failure(H) 2 000
165 184 176 154 112 148 138 117 154 156 143 113 143 134 145 112 132 117 89 98
263 256 243 231 278 227 189 243 218 211 189 178 238 211 188 176 190 150 126 121
median
© Ecma International 2010
ascending ln(H)
median rank
critical value
1 948 1 972 2 001 2 031 2 057 2 075 2 078 2 106 2 128 2 151 2 167 2 189 2 207 2 236 2 297 2 308 2 352 2 486 2 799 2 845
7,5746 7,5868 7,6014 7,6163 7,6290 7,6377 7,6392 7,6525 7,6629 7,6737 7,6811 7,6912 7,6994 7,7124 7,7394 7,7441 7,7630 7,8184 7,9370 7,9533
0,034 0,083 0,132 0,181 0,230 0,279 0,328 0,377 0,426 0,475 0,525 0,574 0,623 0,672 0,721 0,770 0,819 0,868 0,917 0,966
-1,821 -1,383 -1,115 -0,910 -0,738 -0,585 -0,444 -0,312 -0,185 -0,061 0,061 0,185 0,312 0,444 0,585 0,738 0,910 1,115 1,383 1,821
2 159
7,6774
19
Table B.2 — Median rank and the critical value for estimated time to failure (concluded) Group 4a order Disk # number 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30
D14 D5 D20 D15 D2 D3 D6 D17 D28 D30 D9 D7 D4 D19 D10 D1 D11 D23 D27 D18 D8 D12 D13 D29 D25 D21 D22 D16 D26 D24
70°C/75%RH 0
625
Hours 1 250
18 5 12 22 25 7 5 22 20 10 22 22 10 11 23 25 11 11 21 18 12 15 19 15 11 14 20 18 17 17
22 20 56 26 93 23 15 26 28 34 34 34 20 32 27 34 20 16 39 27 17 18 21 21 25 34 23 18 24 24
86 78 66 73 134 97 52 93 45 54 67 67 56 44 54 64 41 27 63 56 56 43 38 38 22 54 25 29 25 25
1 875
2 500
Hours to failure(H)
ascending ln(H)
median rank
critical value
178 132 124 145 154 103 112 145 111 96 132 132 89 97 121 92 87 54 78 88 78 88 82 65 62 77 50 66 70 58
245 187 249 252 211 178 167 178 243 176 189 188 155 143 152 167 115 160 163 134 108 118 135 134 130 112 181 127 123 108
2 456 2 496 2 550 2 582 2 596 2 615 2 644 2 761 2 787 2 841 2 847 2 851 2 920 3 051 3 129 3 240 3 249 3 275 3 304 3 316 3 318 3 343 3 435 3 453 3 488 3 500 3 593 3 649 3 707 4 034
7,8063 7,8224 7,8438 7,8563 7,8617 7,8690 7,8800 7,9233 7,9327 7,9519 7,9540 7,9554 7,9793 8,0232 8,0485 8,0833 8,0861 8,0941 8,1029 8,1065 8,1071 8,1146 8,1418 8,1470 8,1571 8,1605 8,1867 8,2022 8,2180 8,3025
0,023 0,056 0,089 0,122 0,155 0,188 0,220 0,253 0,286 0,319 0,352 0,385 0,418 0,451 0,484 0,516 0,549 0,582 0,615 0,648 0,681 0,714 0,747 0,780 0,813 0,845 0,878 0,911 0,944 0,977
-1,995 -1,590 -1,348 -1,166 -1,017 -0,887 -0,771 -0,664 -0,565 -0,470 -0,380 -0,293 -0,208 -0,124 -0,041 0,041 0,124 0,208 0,293 0,380 0,470 0,565 0,664 0,771 0,887 1,017 1,166 1,348 1,590 1,995
3 185
8,0659
median
Step 3
Best-fit straight lines are drawn through the plotted data. If the lines are judged to be sufficiently parallel, the assumption of equivalent log standard deviation among the individual data sets is verified. An estimate of the log standard deviation can be obtained from the graphical treatment of the failure data. First, for each stress, estimate the times corresponding to 16 %, 50 %, and 84 % failure based on the best fit straight line through the time-to-failure data. The estimated log standard deviation σ1is then calculated from the equation:
1⎛t 2 ⎝ t16%
t ⎞ t 50% ⎠
σ 1 = ln[ ⎜⎜ 50% + 84% ⎟⎟]
20
© Ecma International 2010
2.5
85°C/85%RH
Critical value of the median rank
2.0
65°C/85%RH
1.5
70°C/75%RH
1.0
85°C/70%RH
0.5 0.0 -0.5 -1.0 -1.5 -2.0 -2.5
1.00E+02
1.00E+03
1.00E+04
Hours to failure
Figure B.1 — Lognormal plot of Table B.2 Step 4
Using the reduced Eyring equation, carry out a least squares fit to the log median failure times for each stress condition across all specimens and stress conditions. Table B.3 — Log mean for each stress condition Group
Log median
Temp.
1/T(Kelvin)
Humidity
1a 2a 3a 4a
6,4960 6,9470 7,6774 8,0659
85 85 65 70
0.00279213 0.00279213 0.00295727 0.00291418
85 70 85 75
Table B.4 -— Coefficients of reduced Eyring equation
© Ecma International 2010
B
ΔH/k
ln(A)
-0,0432
8 427,9450
-13,4380
21
Step 5
Calculate acceleration factors for each stress condition Lifestress = Exp {ln(A) + (ΔH/k × 1/Tempstress) + (B × RHstress) } Tempstress = Temperature (in Kelvin) Calculating stress life using "best fit" B, ΔH/k, ln(A) 85°C/85%RH = Exp { (-13,4380) + (8 427,9450 × 1/358,15) + (-0,0432 × 85) } = 615,16 hours 85°C/70%RH = Exp { (-13,4380) + (8 427,9450 × 1/358,15) + (-0,0432 × 70) } = 1 176,01 hours 65°C/85%RH = Exp { (-13,4380) + (8 427,9450 × 1/338,15) + (-0,0432 × 85) } = 2 474,24 hours 70°C/75%RH = Exp { (-13,4380) + (8 427,9450 × 1/343,15) + (-0,0432 × 75) } = 2 650,56 hours 25°C/50%RH = Exp { (-13,4380) + (8 427,9450 × 1/298,15) + (-0,0432 × 50) } = 31 7891,70 hours Calculating acceleration factor for each stress condition Acceleration factor = (Calculated ambient life) divided by (calculated stress life) Table B.5 — Acceleration factor for each stress condition
Stress 85°C/85%RH 85°C/70%RH 65°C/85%RH 70°C/75%RH
Calculated life using "best fit" B, ΔH/k, ln(A) 615,16 hours 1 176,01 hours 2 474,24 hours 2 650,56 hours
25°C/50%RH
317 891,70 hours
Acceleration factor 516,76 270,31 128,48 119,93
Step 6 Calculate normalized time-to-failure at 25 °C/50%RH for each disk
Use the acceleration factor to calculate the normalized time-to-failure. Log the normalized time-to-failure values. Calculate median and standard deviation for all disks. Median Exp (12,66) = 314 896,7 hours (35,9 years)
22
© Ecma International 2010
Table B.6 — Data for composite lognormal plot
© Ecma International 2010
normalized to 25C/50%RH (A)
Hours to Failure
Group#
788 743 685 647 762 607 588 654 578 669 671 614 626 778 704 807 723 645 649 656 1,117 1,118 880 999 1,126 870 1,035 1,043 994 911 1,065 1,059 880 1,037 959 1,149 999 1,058 1,078 1,046 2,057 1,948 2,078 2,106 2,167 2,031 2,151 2,128 2,799 2,297 2,075 2,236 2,352 2,486 1,972
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3
407,206.88 383,952.68 353,980.60 334,343.72 393,771.12 313,673.32 303,854.88 337,961.04 298,687.28 345,712.44 346,745.96 317,290.64 323,491.76 402,039.28 363,799.04 417,025.32 373,617.48 333,310.20 335,377.24 338,994.56 301,936.27 302,206.58 237,872.80 270,039.69 304,369.06 235,169.70 279,770.85 281,933.33 268,688.14 246,252.41 287,880.15 286,258.29 237,872.80 280,311.47 259,227.29 310,586.19 270,039.69 285,987.98 291,394.18 282,744.26 264,283.36 250,279.04 266,981.44 270,578.88 278,416.16 260,942.88 276,360.48 273,405.44 359,615.52 295,118.56 266,596.00 287,281.28 302,184.96 319,401.28 253,362.56
12.92 12.86 12.78 12.72 12.88 12.66 12.62 12.73 12.61 12.75 12.76 12.67 12.69 12.90 12.80 12.94 12.83 12.72 12.72 12.73 12.62 12.62 12.38 12.51 12.63 12.37 12.54 12.55 12.50 12.41 12.57 12.56 12.38 12.54 12.47 12.65 12.51 12.56 12.58 12.55 12.48 12.43 12.49 12.51 12.54 12.47 12.53 12.52 12.79 12.60 12.49 12.57 12.62 12.67 12.44
2,189 2,845 2,308 2,001 2,207 3,240 2,596 2,615 2,920 2,496 2,644 2,851 3,318 2,847 3,129 3,249 3,343 3,435 2,456 2,582 3,649 2,761 3,316 3,051 2,550 3,500 3,593 3,275 4,034 3,488 3,707 3,304 2,787 3,453 2,841
3 3 3 3 3 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4
281,242.72 365,525.60 296,531.84 257,088.48 283,555.36 388,573.20 311,338.28 313,616.95 350,195.60 299,345.28 317,094.92 341,920.43 397,927.74 341,440.71 375,260.97 389,652.57 400,925.99 411,959.55 294,548.08 309,659.26 437,624.57 331,126.73 397,687.88 365,906.43 305,821.50 419,755.00 430,908.49 392,770.75 483,797.62 418,315.84 444,580.51 396,248.72 334,244.91 414,118.29 340,721.13
12.55 12.81 12.60 12.46 12.56 12.87 12.65 12.66 12.77 12.61 12.67 12.74 12.89 12.74 12.84 12.87 12.90 12.93 12.59 12.64 12.99 12.71 12.89 12.81 12.63 12.95 12.97 12.88 13.09 12.94 13.00 12.89 12.72 12.93 12.74
ln of
Group#
median
12.66
Deviation 95% confidence
0.168 0.0347
Ascending
order media rank critical value
(A)
ln (A)
2 2 2 2 3 3 3 2 3 3 3 3 2 2 2 3 3 3 3 2 2 3 2 2 3 2 2 3 2 2 4 3 3 1 4 2 3 2 1 2 4 4 2 4 4 1 4 1 3 1 4 1 4 1 1
235,169.70 237,872.80 237,872.80 246,252.41 250,279.04 253,362.56 257,088.48 259,227.29 260,942.88 264,283.36 266,596.00 266,981.44 268,688.14 270,039.69 270,039.69 270,578.88 273,405.44 276,360.48 278,416.16 279,770.85 280,311.47 281,242.72 281,933.33 282,744.26 283,555.36 285,987.98 286,258.29 287,281.28 287,880.15 291,394.18 294,548.08 295,118.56 296,531.84 298,687.28 299,345.28 301,936.27 302,184.96 302,206.58 303,854.88 304,369.06 305,821.50 309,659.26 310,586.19 311,338.28 313,616.95 313,673.32 317,094.92 317,290.64 319,401.28 323,491.76 331,126.73 333,310.20 334,244.91 334,343.72 335,377.24
12.37 12.38 12.38 12.41 12.43 12.44 12.46 12.47 12.47 12.48 12.49 12.49 12.50 12.51 12.51 12.51 12.52 12.53 12.54 12.54 12.54 12.55 12.55 12.55 12.56 12.56 12.56 12.57 12.57 12.58 12.59 12.60 12.60 12.61 12.61 12.62 12.62 12.62 12.62 12.63 12.63 12.64 12.65 12.65 12.66 12.66 12.67 12.67 12.67 12.69 12.71 12.72 12.72 12.72 12.72
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55
0.0077 0.0188 0.0299 0.0409 0.0520 0.0631 0.0741 0.0852 0.0962 0.1073 0.1184 0.1294 0.1405 0.1515 0.1626 0.1737 0.1847 0.1958 0.2069 0.2179 0.2290 0.2400 0.2511 0.2622 0.2732 0.2843 0.2954 0.3064 0.3175 0.3285 0.3396 0.3507 0.3617 0.3728 0.3838 0.3949 0.4060 0.4170 0.4281 0.4392 0.4502 0.4613 0.4723 0.4834 0.4945 0.5055 0.5166 0.5277 0.5387 0.5498 0.5608 0.5719 0.5830 0.5940 0.6051
-2.4208 -2.0791 -1.8827 -1.7400 -1.6258 -1.5296 -1.4458 -1.3711 -1.3033 -1.2410 -1.1832 -1.1291 -1.0781 -1.0298 -0.9838 -0.9398 -0.8975 -0.8567 -0.8174 -0.7792 -0.7422 -0.7062 -0.6710 -0.6367 -0.6031 -0.5701 -0.5378 -0.5060 -0.4748 -0.4439 -0.4136 -0.3835 -0.3538 -0.3245 -0.2954 -0.2665 -0.2379 -0.2095 -0.1812 -0.1531 -0.1251 -0.0972 -0.0694 -0.0416 -0.0139 0.0139 0.0416 0.0694 0.0972 0.1251 0.1531 0.1812 0.2095 0.2379 0.2665
1 1 4 4 4 1 1 4 1 3 1 3 4 1 4 1 4 4 4 1 4 4 4 4 1 1 4 4 1 4 4 4 4 4 4
337,961.04 338,994.56 340,721.13 341,440.71 341,920.43 345,712.44 346,745.96 350,195.60 353,980.60 359,615.52 363,799.04 365,525.60 365,906.43 373,617.48 375,260.97 383,952.68 388,573.20 389,652.57 392,770.75 393,771.12 396,248.72 397,687.88 397,927.74 400,925.99 402,039.28 407,206.88 411,959.55 414,118.29 417,025.32 418,315.84 419,755.00 430,908.49 437,624.57 444,580.51 483,797.62
12.73 12.73 12.74 12.74 12.74 12.75 12.76 12.77 12.78 12.79 12.80 12.81 12.81 12.83 12.84 12.86 12.87 12.87 12.88 12.88 12.89 12.89 12.89 12.90 12.90 12.92 12.93 12.93 12.94 12.94 12.95 12.97 12.99 13.00 13.09
56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90
0.6162 0.6272 0.6383 0.6493 0.6604 0.6715 0.6825 0.6936 0.7046 0.7157 0.7268 0.7378 0.7489 0.7600 0.7710 0.7821 0.7931 0.8042 0.8153 0.8263 0.8374 0.8485 0.8595 0.8706 0.8816 0.8927 0.9038 0.9148 0.9259 0.9369 0.9480 0.9591 0.9701 0.9812 0.9923
0.2954 0.3245 0.3538 0.3835 0.4136 0.4439 0.4748 0.5060 0.5378 0.5701 0.6031 0.6367 0.6710 0.7062 0.7422 0.7792 0.8174 0.8567 0.8975 0.9398 0.9838 1.0298 1.0781 1.1291 1.1832 1.2410 1.3033 1.3711 1.4458 1.5296 1.6258 1.7400 1.8827 2.0791 2.4208
(A)
Total
90
23
Step 7 Calculate 95 % survival probability for lifetime at 25 °C/50%RH
Calculate 5 % lower limit of 12,66 median value with Standard deviation of 0,168 95 % confidence = 0,0347 Calculate 95 % survival probability with 95 % confidence.
Critical value of the medianrank
230 721,0 hours = 26,3 years
3.00 2.50 2.00 1.50 1.00 0.50 0.00 -0.50 -1.00 -1.50 -2.00 -2.50 -3.00
12.00
12.50
13.00
13.50
ln (Hours to failure)
Figure B.2 — Plot of normalized data
24
© Ecma International 2010
Annex C (normative) Uncontrolled Ambient Condition Media Life Calculation
A test method for a storage or usage condition of higher temperature and relative humidity than 25 ° C and 50 % relative humidity. This test method follows the scope in this document except for the ambient storage condition, which will be based on an environment of 30 °C and 80 % relative humidity. This test method will also use a different stress test design that makes possible the use of the Arrhenius equation. This test demonstrates with a certainty of 95 % that information stored on a recordable or rewriteable optical disk will be viable for a predetermined minimum number of years when storage conditions do not exceed 30 °C and 80 % relative humidity. The same method and assumptions apply except where the ambient condition, stress design, and Eyring equation is addressed. The controlled ambient condition of 25 ° C and 50 % relative humidity will be replaced by an expected harsher user environment of 30 ° C and 80 % relative humidity. The reduced Eyring equation: t = Ae
ΔH / kT
e B× RH will be replaced by the Arrhenius equation:
t = Ae ΔH / kT . The ambient condition will be as stated above. The stress test design will be as follows: Table C.1 — Summary of Stress conditions for use with Arrhenius Method Test cell number
Test stress condition (inc)
Number of specimens
Incubation duration
Min total time
Intermediate RH
Min equilibration duration
hours
hours
%RH
hours
Temp (°C)
%RH
1b
85
80
20
250
1 000
30
5
2b
75
80
25
425
1 700
33
7
3b
65
80
30
600
2 400
35
10
Replace Step 4 in Annex A and B with:
Step 4
Using the Arrhenius equation, carry out a least squares fit to the log median failure times for each stress condition across all specimens and stress conditions.
© Ecma International 2010
25
26
© Ecma International 2010
Annex D (informative) Truncated Test Method (Determination of Media Life Lower Bound)
This test method is to confirm the target minimum life expectancy and to calculate the minimum test time required to do so when media survives at a certain stress condition. It eliminates the problem with "flat line" data where media continues to survive. Media is tested until failure (normally at the higher stress conditions). A desired minimum number of years lifetime is chosen and the number of hours at the minimum stress condition (without failure) is calculated. When this number is reached, the minimum life target is verified. Example: See Table D.1 (media survives at high temperature and lower RH) Using 30 years at 25 ˚C, 50 % RH as a constraint: The following is an outline of steps to estimate the minimal life expectancy using the reduced Eyring equation, as a function of ambient temperature and relative humidity. 1. Solve for coefficient ∆H (activation energy per molecule) of Eyring equation. Subtract two stress conditions with the same % RH.
ln(Time Stress1 ) − ln(Time Stress 2 ) = [ln A +
ΔH ΔH + B × RH Stress1 ] - [ln A + + B × RH Stress 2 ] kTStress1 kTStress 2
where TimeStress1 is time to failure at stress1 condition, TimeStress2 is time to failure at stress2 condition. Example using stress conditions of 85 °C, 85 % RH and 65 °C, 85 % RH
ln(Time85,85 ) − ln(Time 65,85 ) = [ln A +
ΔH ΔH + B × RH 85 ] - [ln A + + B × RH 85 ] kT85 kT65
ΔH = {ln (Time85,85 ) − ln(Time65,85 )} × (-8,3607×10-20 ) Solve for ∆H using these example times for the above stress conditions: At: 85 °C, 85 % RH Time85,85 = 500 h at 65 °C, 85 % RH Time65,85 = 1 852 h Solve for ΔH , ΔH = 1,0948×10-19 2. Solve for coefficient B (RH exponential constant) of Eyring equation. Solving for B after solving for ∆H (∆H = 1,0948×10-19, using the example above). Subtract two stress conditions with different Temperature and % RH
ln(Time Stress1 ) − ln(Time Stress 2 ) = [ln A +
ΔH ΔH + B × RH Stress1 ] - [ln A + + B × RH Stress 2 ] kTStress1 kTStress 2
Example using stress conditions at 85 °C, 85 % RH and 25 °C, 50 % RH.
© Ecma International 2010
27
ln(Time85,85 ) − ln(Time 25,50 ) = [ln A +
ΔH ΔH + B × RH 85 ] - [ln A + + B × RH 50 ] kT85 kT25
Using the example of 500 hours at 85 °C, 85 % RH and solving for 30 years lifetime: 85 °C, 85 % RH Time 85,85 = 500 h, 25 °C, 50 % RH Time25,50 = 262 800 h (30 years = 30×8760) Solve for B
ln(500) − ln(262,800) = [
1,0948 × 10 −19 × ( −5,6189 × 10 −4 ) ]+B×35 − 23 1,3807 × 10
B=-5,169×10-2
3. Solve for coefficient A (pre-exponential time constant) of Eyring equation. Solving for A after solving for ∆H and B (∆H = 1,0948×10-19, B = -5,169×10-2 using above) Eying equation logged: Example below using ambient condition of 25 °C, 50 % RH for 30 years
ln(Time 25,50 ) = ln A +
ΔH + B × RH 50 kT25
Substitute ∆H and B with the calculated values and Time with the selected archival time ∆H
= 1,0948×10-19
B = -5,169×10-2 Time
= 30 years (262 800 h)
Solve for A, A = 9,828×10-6 .
4. Solve for third stress condition Solving time for a third stress condition (example: 85 °C, 70 % RH) that equals 30 years life expectancy at 25 °C, 50 % RH. Eying equation logged: t = 358,15 Kelvin = 85 °C RH = 70 = 70 % Relative Humidity
ln(Time85, 70 ) = -11,5303 +
1,0948 × 10 −19 −2 + (- 5,169 × 10 × 70 ) − 23 (1,3807 × 10 ) × (85 + 273,15)
Solve for Time85,70, Time85,70 = 1 086 h
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Therefore, If: 1. Archival time is selected to be 30 years, 2. Disks fail at 500 h at 85 °C, 85 % RH 3. And disks fail at 1 852 h at 65 °C, 85 % RH Then: According to the acceleration model, disks must not fail before 1 086 h (at 85 °C, 70 % RH) to have a minimum of 30 years life expectancy at 25 °C, 50 % RH. The failure time for the third stress condition is dependent on the failure times at the first two stress conditions and the archival years target selected. Table D.1 — Example using stress conditions of 85 °C, 85 % RH and 65 °C, 85 % RH
ln(hrs)
Years
~ ln(Hours) Hours ln(Hours)
Hours
ln(Hours)
Hours
ln(Hours) Hours ln(Hours) Hours ln(Hours)
Hours
100 90
actual
85
7,52
actual
1 852
6,21
500
80 75
%RH
target
70
6,99
1 086
85
85
65 60 55 50
12,48
30,02
25
25
40 30
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~
60
60
65
65
70
70
75
75
80
80
Temperature - Celsius
29
30
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Annex E (informative) Relation between BER and PI Sum 8
The byte error rate BER is the number of erroneous symbols divided by the total number of symbols. Because the length of one code word of the inner code is 182, number of erroneous symbol in one inner code word Npi can be expressed by binomial probability, and it is 182
N pi = ∑ 182 Ci × BER i × (1 − BER )
182 − i
(1)
i =1
The number of PI errors in 8 ECC blocks Npis8 can be expressed by formula (2) because the length of the outer code word is 208.
N pis8 = 208 × 8 × N pi
(2)
Figure E.1 — Relationship between BER and PI Sum 8
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Bibliography
[1]
Experimental statistics, US National Bureau of Standards Handbook 91, 1963
[2]
Applied Regression Analysis, Draper and Smith, Wiley Edition 2
[3]
Statistical Methods for Reliability Data, Meeker, Escobar, 1998, John Wiley & Sons Inc.
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