Probability-Relevant Incipient Fault Detection and Diagnosis Methodology With Applications to Electric Drive Systems
In: IEEE Transactions on Control Systems Technology (T-CST), Vol. 27 (2019), No. 6, pp. 2766 - 2773
2019article/chapter in journalClosed access
Electrical Engineering and Information TechnologyFaculty of Engineering » Engineering and Information Technology » Automatic Control and Complex Systems
Title in English:
Probability-Relevant Incipient Fault Detection and Diagnosis Methodology With Applications to Electric Drive Systems
Author:
Chen, Hongtian
- ORCID
-
0000-0002-8600-9668
- ORCID
-
0000-0002-9153-4360
- GND
- 134302427
- LSF ID
- 2347
- ORCID
-
0000-0002-5149-5918
- Other
- connected with university
- ORCID
-
0000-0002-9964-7677
- ORCID
-
0000-0002-8726-8602
Year of publication:
2019
Open Access?:
Closed access
IEEE ID
Scopus ID
Language of text:
English
Keyword, Topic:
Bayes methods ; Bayesian inference ; electric drive systems ; Fault detection ; incipient faults ; Kullback-Leibler divergence (KLD) ; Mathematical analysis ; Principal component analysis ; probability-relevant principal component analysis (PRPCA). ; Standards