Research on Fault Diagnosis of Rolling Bearing Based on Gramian Angular Field and Lightweight Model

Due to the limitations of deep learning models in processing one-dimensional signal feature extraction, and high model complexity leading to low training accuracy and large consumption of computing resources, this paper innovatively proposes a rolling bearing fault diagnosis method based on Gramian...

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Hlavní autoři:	Jingtao Shen, Zhe Wu, Yachao Cao, Qiang Zhang, Yanping Cui
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2024-09-01
Edice:	Sensors
Témata:	deep learning fault diagnosis residual network Gramian angular field efficient channel attention
On-line přístup:	https://www.mdpi.com/1424-8220/24/18/5952
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