A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process
In: Journal of Process Control, Vol. 22 (2012), No. 9, pp. 1567 - 1581
2012article/chapter in journal
Electrical Engineering and Information TechnologyFaculty of Engineering » Engineering and Information Technology » Automatic Control and Complex Systems
Related: 1 publication(s)
Title in English:
A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process
Author:
Yin, Shen
- Other
- corresponding author
- GND
- 134302427
- LSF ID
- 2347
- ORCID
-
0000-0002-5149-5918
- Other
- connected with university
- LSF ID
- 52408
- Other
- connected with university
Year of publication:
2012
Scopus ID
Language of text:
English
Appears in
Place of publication:
Amsterdam
Publisher:
Elsevier
in:
Vol. 22 (2012), No. 9, pp. 1567 - 1581
ISSN
ISSN
ZDB ID
Keyword, Topic:
Process monitoring; Fault diagnosis; Data-driven methods; Tennessee Eastman process
Type of resource:
Text