SIR-Aided Dynamic Canonical Correlation Analysis for Fault Detection and Isolation of Industrial Automation Systems
In: IEEE Transactions on Industrial Electronics (T-IE), Vol. 71 (2024), No. 9, pp. 11560 - 11570
2024article/chapter in journalClosed access
Electrical Engineering and Information TechnologyFaculty of Engineering » Engineering and Information Technology » Automatic Control and Complex Systems
Title in English:
SIR-Aided Dynamic Canonical Correlation Analysis for Fault Detection and Isolation of Industrial Automation Systems
Author:
Gao, Long
- LSF ID
- 53691
- ORCID
-
0000-0002-4759-0904
- Other
- connected with university
corresponding author
- GND
- 134302427
- LSF ID
- 2347
- ORCID
-
0000-0002-5149-5918
- Other
- connected with university
Year of publication:
2024
Open Access?:
Closed access
Web of Science ID
Scopus ID
Language of text:
English
Keyword, Topic:
Automation ; Canonical correlation analysis (CCA) ; closed-loop dynamic ; Correlation ; Fault detection ; fault detection ; Feedback control ; Generators ; optimal fault isolation ; residual generation ; Steady-state ; Transient analysis
Type of resource:
Text