A Fault Diagnosis Method for Rolling Bearings Based on Improved Speed Time-Varying Filtering Empirical Mode Decomposition and Adaptive Sine–Cosine Optimization Algorithm

As a critical mechanical component, the operational integrity of rolling bearings is essential for equipment safety. However, under strong noise interference, the weak fault features in vibration signals are difficult to extract. To address this issue, a novel fault diagnosis method is proposed in t...

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Detalhes bibliográficos

Principais autores:	Lifeng Wang, Mingchen Lv, Wenming Cheng, Xiao Xu, Zejun Zheng, Dongli Song
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-03-01
coleção:	Machines
Assuntos:	rolling bearings ISTVF-EMD A-SCA fault diagnosis feature extraction
Acesso em linha:	https://www.mdpi.com/2075-1702/14/3/283
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