Application of Optimization Parameters VMD and MED in Fault Diagnosis of Train Gearbox Rolling Bearings

Aiming at the problem of feature extraction of train gearbox rolling bearing’s incipient fault in the case of strong noise, a method of fault diagnosis based on minimum entropy deconvolution (MED) and parameter optimized variational mode decomposition (VMD) was proposed. Firstly, the bearing vibrati...

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Detalhes bibliográficos

Principais autores:	Changqing LI, Jianhui LIN, Yongxu HU
Formato:	Artigo
Idioma:	Chinês
Publicado em:	Editorial Department of Electric Drive for Locomotives 2020-05-01
coleção:	机车电传动
Assuntos:	high-speed train train gearbox rolling bearing minimum entropy deconvolution variational mode decomposition parameter optimize discrete differential evolution algorithm fault diagnosis
Acesso em linha:	http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128x.2020.03.030
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