Cross-domain intelligent fault diagnosis of rolling bearing based on distance metric transfer learning

Cross-domain intelligent fault diagnosis of rolling bearing based on distance metric transfer learning

Rolling bearings are present ubiquitously in mechanical equipment, timely fault diagnosis has great significance in guaranteeing the safety of mechanical operation. In real world industrial applications, the distribution of training dataset (source domain) and testing dataset (target domain) is ofte...

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Bibliographic Details
Main Authors:	Hongdi Zhou, Tao Huang, Xixing Li, Fei Zhong
Format:	Article
Language:	English
Published:	SAGE Publishing 2022-11-01
Series:	Advances in Mechanical Engineering
Online Access:	https://doi.org/10.1177/16878132221135740

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