Huang, Dajian; Zhang, Wen-An; Ding, Steven X.:
Bearing Fault Diagnosis With Incomplete Training Data : Fault Data With Partial Diameters
In: IEEE Transactions on Automation Science and Engineering, Vol. 21 (2024), No. 3, pp. 4298 - 4310
2024article/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:
Bearing Fault Diagnosis With Incomplete Training Data : Fault Data With Partial Diameters
Author:
Huang, Dajian
ORCID
0000-0002-0792-974XORCID iD
;Zhang, Wen-An
ORCID
0000-0002-4355-2783ORCID iD
Other
corresponding author
;Ding, Steven X.UDE
GND
134302427
LSF ID
2347
ORCID
0000-0002-5149-5918ORCID iD
Other
connected with university
Year of publication:
2024
Open Access?:
Closed access
DOI
10.1109/TASE.2023.3294811
IEEE ID
10190315
Web of Science ID
001040634100001
Scopus ID
85165933802
Language of text:
English
Appears in
IEEE Transactions on Automation Science and Engineering
Title in English (abbreviated):
IEEE Trans. Autom. Sci. Eng.
Place of publication:
New York
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
in:
Vol. 21 (2024), No. 3, pp. 4298 - 4310
ISSN
1558-3783 Show availability online & print
ISSN
1545-5955 Show availability online & print
ZDB ID
2155780-9
Keyword, Topic:
Adaptation models ; artificial intelligence ; Bearing fault diagnosis ; cepstrum ; Cepstrum ; Classification algorithms ; CSD-framework ; Fault diagnosis ; Feature extraction ; incomplete data ; metric ; scale ; Training data ; Vibrations
Type of resource:
Text
DESTATIS Subject Classification:
7100 Elektrotechnik allgemein