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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Published in | Neural networks Vol. 129; pp. 313 - 322 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
01.09.2020
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Subjects | |
Online Access | Get full text |
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