A Complex Multi-Working-Condition Bearing Fault Diagnosis Model Based on Sparse Representation Classification

This article proposes a new method for bearing fault diagnosis based on sparse representation classification to address the challenges of fault identification under complex working conditions with different degrees of damage. The core of this method lies in directly using the original vibration sign...

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Bibliografiska uppgifter

Huvudupphov:	Jing Yang, Yanping Bai, Xia Ma, Jie Yang, Lichen Chai, Xiaoling Meng
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2026-01-01
Serie:	Lubricants
Ämnen:	bearing fault diagnosis sparse representation multiple working conditions accelerated proximal gradient
Länkar:	https://www.mdpi.com/2075-4442/14/1/27
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