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Fourier-Based Adaptive Signal Decomposition Method Applied to Fault Detection in Induction Motors

Fourier-Based Adaptive Signal Decomposition Method Applied to Fault Detection in Induction Motors

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_28e4221357c94b9a8c72bc97ee552f97

Fourier-Based Adaptive Signal Decomposition Method Applied to Fault Detection in Induction Motors

About this item

Full title

Fourier-Based Adaptive Signal Decomposition Method Applied to Fault Detection in Induction Motors

Publisher

Basel: MDPI AG

Journal title

Machines (Basel), 2022-09, Vol.10 (9), p.757

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Time-frequency analysis is commonly used for fault detection in induction motors. A variety of signal decomposition techniques have been proposed in the literature, such as Wavelet transform, Empirical Mode Decomposition (EMD), Multiple Signal Classification (MUSIC), among others. They have been successfully used in many works related with the topi...

Alternative Titles

Full title

Fourier-Based Adaptive Signal Decomposition Method Applied to Fault Detection in Induction Motors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_28e4221357c94b9a8c72bc97ee552f97

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_28e4221357c94b9a8c72bc97ee552f97

Other Identifiers

ISSN

2075-1702

E-ISSN

2075-1702

DOI

10.3390/machines10090757

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