Deep mixed domain generalization network for intelligent fault diagnosis under unseen conditions
In: IEEE Transactions on Industrial Electronics (T-IE), Vol. 71 (2024), No. 1, pp. 965 - 974
2024article/chapter in journalClosed access
Electrical Engineering and Information TechnologyFaculty of Engineering » Engineering and Information Technology » Automatic Control and Complex Systems
Title in English:
Deep mixed domain generalization network for intelligent fault diagnosis under unseen conditions
Author:
Fan, Zhenhua
- Other
- corresponding author
- GND
- 134302427
- LSF ID
- 2347
- ORCID
-
0000-0002-5149-5918
- Other
- connected with university
Year of publication:
2024
Open Access?:
Closed access
IEEE ID
Web of Science ID
Scopus ID
Language of text:
English
Keyword, Topic:
Adaptation models ; Data models ; deep learning ; Domain generalization ; Employee welfare ; Fault diagnosis ; Feature extraction ; intelligent fault diagnosis ; Task analysis ; Training
Type of resource:
Text