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Fault diagnosis of low-speed and heavy-load bearings based on STFT-SE-ResNet18 model

ObjectiveAiming at the problems of weak fault features and difficult fault feature extraction in vibration signals of low-speed and heavy-load rolling bearings, a fault diagnosis method based on ResNet18 residual network with squeeze-and-excitation (SE) attention mechanism was proposed.MethodsFirstl...

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Principais autores: ZHENG Xin, SUN Xianbin, YIN Gang, KONG Liya
פורמט: Artigo
שפה:Chinês
יצא לאור: Editorial Office of Journal of Mechanical Transmission 2025-11-01
סדרה:Jixie chuandong
נושאים:
Low-speed heavy-load bearing
STFT
Attention mechanism
Residual network
Fault diagnosis
גישה מקוונת:http://www.jxcd.net.cn/thesisDetails#DOI：10.16578/j.issn.1004.2539.2025.11.020
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