Rolling Bearing Fault Diagnosis Based on Time-Frequency Feature Extraction and IBA-SVM

Accurate fault diagnosis of rolling bearings is necessary to ensure the safe and reliable operation of mechanical equipment. Aiming at the problem of low accuracy of rolling bearing fault diagnosis, a rolling bearing fault diagnosis algorithm based on time-frequency feature extraction and improved b...

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Detalhes bibliográficos

Principais autores:	Mei Zhang, Jun Yin, Wanli Chen
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2022-01-01
coleção:	IEEE Access
Assuntos:	Rolling bearing fault diagnosis feature extraction IBA algorithm SVM model
Acesso em linha:	https://ieeexplore.ieee.org/document/9856613/
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