Fault Detection for Non-Gaussian Processes Using Generalized Canonical Correlation Analysis and Randomized Algorithms
In: IEEE Transactions on Industrial Electronics (T-IE), Vol. 65 (2018), No. 2, pp. 1559 - 1567
2018article/chapter in journalClosed access
Electrical Engineering and Information TechnologyFaculty of Engineering » Engineering and Information Technology » Automatic Control and Complex Systems
Related: 1 publication(s)
Title in English:
Fault Detection for Non-Gaussian Processes Using Generalized Canonical Correlation Analysis and Randomized Algorithms
Author:
Chen, ZhiwenUDE
- LSF ID
- 53691
- ORCID
- 0000-0002-4759-0904
- Other
- connected with university
- GND
- 134302427
- LSF ID
- 2347
- ORCID
- 0000-0002-5149-5918
- Other
- connected with university
Year of publication:
2018
Open Access?:
Closed access
IEEE ID
Web of Science ID
Scopus ID
Language of text:
English
Keyword, Topic:
Algorithm design and analysis ; Canonical correlation analysis ; Control systems ; Correlation ; Covariance matrices ; Fault detection ; Gaussian processes ; Non-Gaussian process ; Randomized algorithms ; Standards ; Traction drive control system
Type of resource:
Text