arXiv (All)
open access
Modeling dependent degradation data considering inherent causal relationships for reliability analysis and remaining useful life prediction
Accurate modeling of dependent degradation processes is essential for credible reliability assessment and remaining useful life (RUL) prediction in complex systems. Existing dependent degradation models usually describe dependence using correlation-based methods with symmetric characteristics. Howev
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- CORD: Learning Reusable Degradation Representations Across Heterogeneous Physical Systems#1144951
- Predicting Jet Engine Degradation Trajectories for Predictive Maintenance#632058
- Proceedings of the SMRM Degradation Study Workshop#499151
- Reliability Engineering for AI Systems: Challenges, Methods, and Directions#1129908
- Spatio-Temporal Assessment of the Reliability of Corroded Pipeline Considering Time-Dependent Failure Modes#1134050
Record · ID 1106037
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive