Digital twin-driven partial domain adaptation network for intelligent fault diagnosis of rolling bearing

Fault diagnosis of rolling bearings has attracted extensive attention in industrial fields, which plays a vital role in guaranteeing the reliability, safety, and economical efficiency of mechanical systems. Traditional data-driven fault diagnosis methods require obtaining a dataset of full failure m...

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Bibliographic Details

Published in:	Reliability engineering & system safety Vol. 234; p. 109186
Main Authors:	Zhang, Yongchao, Ji, J.C., Ren, Zhaohui, Ni, Qing, Gu, Fengshou, Feng, Ke, Yu, Kun, Ge, Jian, Lei, Zihao, Liu, Zheng
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.06.2023
Subjects:	Digital twin Domain adaptation Fault diagnosis Rolling bearing Transformer Fault diagnosis Domain adaptation Transformer Digital twin Rolling bearing
ISSN:	0951-8320, 1879-0836
Online Access:	Get full text
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