Bearing condition monitoring and fault diagnosis based on mathematical morphology and fractal theory and PNN

Aiming at the problems about poor real-time monitoring of rolling bearing condition and low accuracy of fault diagnosis, a feature extraction algorithm based on improved local mean decomposition (ILMD) and mathematical morphology fractal theory is proposed, and making it combine with probabilistic n...

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Detalles Bibliográficos

Autores principales:	LIN Yi, LONG Wei, LI Yan-Yan, ZHANG Qing-Hua
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Editorial Department of Journal of Sichuan University (Natural Science Edition) 2021-01-01
Colección:	四川大学学报. 自然科学版
Materias:	Fault diagnosis Bearing Mathematical morphology Fractal dimension Probabilistic neural network
Acceso en línea:	http://science.scu.edu.cn/thesisDetails#10.19907/j.0490-6756.2021.053002
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