Log in to save to my catalogue

A CNN-Based Methodology for Identifying Mechanical Faults in Induction Motors Using Thermography

A CNN-Based Methodology for Identifying Mechanical Faults in Induction Motors Using Thermography

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bf8c2116b7fc401d80d47fc6be59e6f4

A CNN-Based Methodology for Identifying Mechanical Faults in Induction Motors Using Thermography

About this item

Full title

A CNN-Based Methodology for Identifying Mechanical Faults in Induction Motors Using Thermography

Publisher

Basel: MDPI AG

Journal title

Machines (Basel), 2023-07, Vol.11 (7), p.752

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Infrared thermography (IRT) has become an interesting alternative for performing condition assessments of different types of induction motor (IM)-based equipment when it operates under harsh conditions. The reported results from state-of-the-art articles that have analyzed thermal images do not consider (1): the presence of more than one fault, and...

Alternative Titles

Full title

A CNN-Based Methodology for Identifying Mechanical Faults in Induction Motors Using Thermography

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_bf8c2116b7fc401d80d47fc6be59e6f4

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_bf8c2116b7fc401d80d47fc6be59e6f4

Other Identifiers

ISSN

2075-1702

E-ISSN

2075-1702

DOI

10.3390/machines11070752

How to access this item