DB-KIT provides useful tools for data-driven process monitoring, prognosis and fault diagnosis. http://homepage.hit.edu.cn/jiangyuchen
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DB-KIT provides a range of basic and advanced solutions published by the authors to process monitoring and fault diagnosis problems. Based on the research work throughout the past decade, DB-KIT includes functions that realize various widely-used prognosis and diagnosis approaches using only process data.
With the easy-to-use functions and intuitive demos, the users will find it useful for further investigation, comparison studies, as well as educational purpose.
Cite As: Y. Jiang, S. Yin, Recent Advances in key-performance-indicator oriented prognosis and diagnosis with a MATLAB Toolbox: DB-KIT, IEEE Transactions on Industrial Informatics. 15(5): 2849-2858, 2019.
Cite As
Y. Jiang, S. Yin, Recent Advances in key-performance-indicator oriented prognosis and diagnosis with a MATLAB Toolbox: DB-KIT, IEEE Transactions on Industrial Informatics. 15(5): 2849-2858, 2019.
General Information
- Version 1.0.1.1 (19 MB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.1.1 | Maintenance of DB-KIT |
|
|
| 1.0.1.0 | Maintenance of DB-KIT |
|
|
| 1.0.0.0 |
