A Dual-Channel Fault Diagnosis Method for Rolling Bearings Based on VMD-BiGRU and GADF-ResNet-CBAM

To address the drawbacks of traditional convolutional neural network-based rolling bearing fault diagnosis techniques, including poor feature extraction, low diagnostic accuracy, and poor generalization capability, a dual-channel rolling bearing fault diagnosis model based on VMD-BiGRU and GADF-ResN...

Description complète

Détails bibliographiques

Auteurs principaux:	Maoyuan Niu, Xiaojing Wan, Yuzhou Sheng
Format:	Artigo
Langue:	Inglês
Publié:	MDPI AG 2026-05-01
Collection:	Applied Sciences
Sujets:	rolling bearings fault diagnosis variational modality decomposition Gramian angular difference field convolutional block attention module
Accès en ligne:	https://www.mdpi.com/2076-3417/16/10/4968
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!