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...

Descrición completa

Detalles Bibliográficos

Principais autores:	ZHENG Xin, SUN Xianbin, YIN Gang, KONG Liya
Formato:	Artigo
Idioma:	Chinês
Publicado:	Editorial Office of Journal of Mechanical Transmission 2025-11-01
Series:	Jixie chuandong
Assuntos:	Low-speed heavy-load bearing STFT Attention mechanism Residual network Fault diagnosis
Acceso en liña:	http://www.jxcd.net.cn/thesisDetails#DOI：10.16578/j.issn.1004.2539.2025.11.020
Tags:	Engadir etiqueta Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!