arXiv (All)
open access
FactoryNet: A Large-Scale Dataset toward Industrial Time-Series Foundation Models
Industrial machines are actuated systems, yet most open time-series corpora record sensor outcomes alone; the few that do log commanded signals expose them in vendor-specific forms that differ from machine to machine, so commanded intent and measured response cannot be compared across embodiments. W
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
- 15 CFR Part 702 — Industrial Base Surveys—Data Collections#505924
- Benchmarking Hybrid Deep Learning Architectures for Predictive Maintenance in Industry 4.0#1037266
- Timer-M1: A Multivariate Time Series Foundation Model via Learning Primitives#1249014
- Hybrid Sensor-Vision Machine Learning for Predicting Mahewu Fermentation Dynamics.#1097845
- Causally-Constrained Probabilistic Forecasting for Time-Series Anomaly Detection#1354885
Record · ID 1296423
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