Convolutional Neural Network and Motor Current Signature Analysis during the Transient State for Det...
Convolutional Neural Network and Motor Current Signature Analysis during the Transient State for Detection of Broken Rotor Bars in Induction Motors
About this item
Full title
Author / Creator
Publisher
MDPI
Journal title
Language
English
Formats
Publication information
Publisher
MDPI
Subjects
More information
Scope and Contents
Contents
Although induction motors (IMs) are robust and reliable electrical machines, they can suffer different faults due to usual operating conditions such as abrupt changes in the mechanical load, voltage, and current power quality problems, as well as due to extended operating conditions. In the literature, different faults have been investigated; howev...
Alternative Titles
Full title
Convolutional Neural Network and Motor Current Signature Analysis during the Transient State for Detection of Broken Rotor Bars in Induction Motors
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_e244632f4b1b49f4b7317ca7ff1ebee2
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e244632f4b1b49f4b7317ca7ff1ebee2
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s20133721