Intelligent Diagnosis of Rolling Bearings Fault Based on Multisignal Fusion and MTF-ResNet

Existing diagnosis methods for bearing faults often neglect the temporal correlation of signals, resulting in easy loss of crucial information. Moreover, these methods struggle to adapt to complex working conditions for bearing fault feature extraction. To address these issues, this paper proposes a...

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Autori principali:	Kecheng He, Yanwei Xu, Yun Wang, Junhua Wang, Tancheng Xie
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2023-07-01
Serie:	Sensors
Soggetti:	metro traction motor bearings multisignal fusion Markov transition field optimized deep residual network diagnosis of compound faults
Accesso online:	https://www.mdpi.com/1424-8220/23/14/6281
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