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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 Det...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e244632f4b1b49f4b7317ca7ff1ebee2

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

Convolutional Neural Network and Motor Current Signature Analysis during the Transient State for Detection of Broken Rotor Bars in Induction Motors

Publisher

MDPI

Journal title

Sensors (Basel, Switzerland), 2020-07, Vol.20 (13), p.3721

Language

English

Formats

Publication information

Publisher

MDPI

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

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

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