Electric Motor Vibration Signal Classification Using Wigner-Ville Distribution for Fault Diagnosis
Electric Motor Vibration Signal Classification Using Wigner-Ville Distribution for Fault Diagnosis
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Publisher
Switzerland: MDPI AG
Journal title
Language
English
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Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
Noise and vibration signal classification can be applied to fault diagnosis in mechanical and electronic systems such as electric vehicles. Traditional signal classification technology uses signal time and frequency domain characteristics as the identification basis. This study proposes a technique for visualizing sound signals using the Wigner-Vil...
Alternative Titles
Full title
Electric Motor Vibration Signal Classification Using Wigner-Ville Distribution for Fault Diagnosis
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_30556d9af72b4749b913617e51fa0de9
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_30556d9af72b4749b913617e51fa0de9
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s25041196
