Rolling Bearing Fault Diagnosis across Operating Conditions Based on Unsupervised Domain Adaptation

Rolling Bearing Fault Diagnosis across Operating Conditions Based on Unsupervised Domain Adaptation

In practical industrial scenarios, mechanical equipment frequently operates within dynamic working conditions. To address the challenge posed by the incongruent data distribution between source and target domains amidst varying operational contexts, particularly in the absence of labels within the t...

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Bibliographic Details
Main Authors:	Zhidan Zhong, Hao Liu, Wentao Mao, Xinghui Xie, Yunhao Cui
Format:	Article
Language:	English
Published:	MDPI AG 2023-09-01
Series:	Lubricants
Subjects:	convolutional auto-encoder balanced distribution adaption domain adaptation cross-condition fault diagnosis
Online Access:	https://www.mdpi.com/2075-4442/11/9/383

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