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Expert System Based on Autoencoders for Detection of Broken Rotor Bars in Induction Motors Employing...

Expert System Based on Autoencoders for Detection of Broken Rotor Bars in Induction Motors Employing...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_eab55bca6b664c96b4ab4d6f3129b14b

Expert System Based on Autoencoders for Detection of Broken Rotor Bars in Induction Motors Employing Start-Up and Steady-State Regimes

About this item

Full title

Expert System Based on Autoencoders for Detection of Broken Rotor Bars in Induction Motors Employing Start-Up and Steady-State Regimes

Publisher

Basel: MDPI AG

Journal title

Machines (Basel), 2023-01, Vol.11 (2), p.156

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Induction motors are indispensable, robust, and reliable machines for industry; however, as with any machine, they are susceptible to diverse faults. Among the faults that a motor can suffer, broken rotor bars (BRBs) have become one of the most studied ones because the motor under this fault condition can continue operating with apparent normality,...

Alternative Titles

Full title

Expert System Based on Autoencoders for Detection of Broken Rotor Bars in Induction Motors Employing Start-Up and Steady-State Regimes

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_eab55bca6b664c96b4ab4d6f3129b14b

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_eab55bca6b664c96b4ab4d6f3129b14b

Other Identifiers

ISSN

2075-1702

E-ISSN

2075-1702

DOI

10.3390/machines11020156

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