Dynamic Distribution Adaptation Based Transfer Network for Cross Domain Bearing Fault Diagnosis

Dynamic Distribution Adaptation Based Transfer Network for Cross Domain Bearing Fault Diagnosis

Abstract In machinery fault diagnosis, labeled data are always difficult or even impossible to obtain. Transfer learning can leverage related fault diagnosis knowledge from fully labeled source domain to enhance the fault diagnosis performance in sparsely labeled or unlabeled target domain, which ha...

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Bibliographic Details
Main Authors:	Yixiao Liao, Ruyi Huang, Jipu Li, Zhuyun Chen, Weihua Li
Format:	Article
Language:	English
Published:	SpringerOpen 2021-06-01
Series:	Chinese Journal of Mechanical Engineering
Subjects:	Cross domain fault diagnosis Dynamic distribution adaptation Instance-weighted dynamic MMD Transfer learning
Online Access:	https://doi.org/10.1186/s10033-021-00566-3

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