Partial transfer learning in machinery cross-domain fault diagnostics using class-weighted adversarial networks

Recently, transfer learning has been receiving growing interests in machinery fault diagnosis due to its strong generalization across different industrial scenarios. The existing methods generally assume identical label spaces, and propose minimizing marginal distribution discrepancy between source...

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Bibliographic Details
Published inNeural networks Vol. 129; pp. 313 - 322
Main Authors Li, Xiang, Zhang, Wei, Ma, Hui, Luo, Zhong, Li, Xu
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.09.2020
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