Fault Diagnosis of Electric Motors Using Deep Learning Algorithms and Its Application: A Review
Fault Diagnosis of Electric Motors Using Deep Learning Algorithms and Its Application: A Review
About this item
Full title
Author / Creator
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
Electric motors are used extensively in numerous industries, and their failure can result not only in machine damage but also a slew of other issues, such as financial loss, injuries, etc. As a result, there is a significant scope to use robust fault diagnosis technology. In recent years, interesting research results on fault diagnosis for electric...
Alternative Titles
Full title
Fault Diagnosis of Electric Motors Using Deep Learning Algorithms and Its Application: A Review
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_0e5aae5a74ea4ff79792e1b994efad83
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_0e5aae5a74ea4ff79792e1b994efad83
Other Identifiers
ISSN
1996-1073
E-ISSN
1996-1073
DOI
10.3390/en14217017
