A data-driven fault detection approach with performance optimization
In: The Canadian Journal of Chemical Engineering (CJChE), Vol. 96 (2018), No. 2, pp. 507 - 514
2018article/chapter in journalClosed access
Electrical Engineering and Information TechnologyFaculty of Engineering » Engineering and Information Technology » Automatic Control and Complex Systems
Title in English:
A data-driven fault detection approach with performance optimization
Author:
Li, LinlinUDE
- LSF ID
- 12202
- ORCID
-
0000-0002-6387-6013
- Other
- connected with university
- GND
- 134302427
- LSF ID
- 2347
- ORCID
-
0000-0002-5149-5918
- Other
- connected with university
- Other
- corresponding author
Year of publication:
2018
Open Access?:
Closed access
Scopus ID
Language of text:
English
Keyword, Topic:
data-driven methods ; gradient descent algorithm ; observer-based fault detection
Type of resource:
Text