Bearing Fault Diagnosis With Incomplete Training Data : Fault Data With Partial Diameters
In: IEEE Transactions on Automation Science and Engineering (2023), in press
2023article/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
- 0000-0002-0792-974X
- ORCID
- 0000-0002-4355-2783
- Other
- corresponding author
- GND
- 134302427
- LSF ID
- 2347
- ORCID
- 0000-0002-5149-5918
- Other
- connected with university
Year of publication:
2023
Open Access?:
Closed access
IEEE ID
Web of Science ID
Scopus ID
Note:
in press
Language of text:
English
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