The Method of Rolling Bearing Fault Diagnosis Based on Multi-Domain Supervised Learning of Convolution Neural Network

The rolling bearing is a critical part of rotating machinery and its condition determines the performance of industrial equipment; it is necessary to detect rolling bearing faults as early as possible. The traditional methods of fault diagnosis are not efficient and are time-consuming. With the help...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Xuejun Liu, Wei Sun, Hongkun Li, Zeeshan Hussain, Aiqiang Liu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2022-06-01
coleção:	Energies
Assuntos:	rolling bearing fault diagnosis convolution neural network multi-domain supervised learning
Acesso em linha:	https://www.mdpi.com/1996-1073/15/13/4614
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!