Enhanced Rolling Bearing Fault Diagnosis Using Multimodal Deep Learning and Singular Spectrum Analysis

A decision-level multimodal fusion deep learning strategy is proposed for the effective fault detection of rolling bearings based on long-term fault signals collected from multiple sensors. First, key features are extracted from the multimodal signal set using singular spectrum analysis (SSA), and t...

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Detalhes bibliográficos

Principais autores:	Yunhang Wang, Hongwei Wang, Ruoyang Bai, Yuxin Shi, Xicong Chen, Qingang Xu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-04-01
coleção:	Applied Sciences
Assuntos:	rolling bearings fault diagnosis decision-level multimodal fusion singular spectrum analysis
Acesso em linha:	https://www.mdpi.com/2076-3417/15/9/4828
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