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Fault diagnosis of inter‐turn short circuits in PMSM based on deep regulated neural network

Fault diagnosis of inter‐turn short circuits in PMSM based on deep regulated neural network

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_632d2c729dd749cc87bca3500d5634fd

Fault diagnosis of inter‐turn short circuits in PMSM based on deep regulated neural network

About this item

Full title

Fault diagnosis of inter‐turn short circuits in PMSM based on deep regulated neural network

Publisher

John Wiley & Sons, Inc

Journal title

IET Electric Power Applications, 2024-12, Vol.18 (12), p.1991-2007

Language

English

Formats

Publication information

Publisher

John Wiley & Sons, Inc

More information

Scope and Contents

Contents

Permanent Magnet Synchronous Machine (PMSM) is widely utilised in numerous industrial applications due to its precise control capabilities. However, these motors frequently encounter operational faults, potentially leading to severe safety and performance issues. Consequently, effective health monitoring techniques for early fault detection are ess...

Alternative Titles

Full title

Fault diagnosis of inter‐turn short circuits in PMSM based on deep regulated neural network

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_632d2c729dd749cc87bca3500d5634fd

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_632d2c729dd749cc87bca3500d5634fd

Other Identifiers

ISSN

1751-8660

E-ISSN

1751-8679

DOI

10.1049/elp2.12525

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