Intelligent cross-machine fault diagnosis approach with deep auto-encoder and domain adaptation
•The challenging cross-machine transfer learning problem in fault diagnosis is investigated.•The machine-invariant features are extracted using deep auto-encoder, and domain adaptation is used for feature alignment.•The practical scenarios in fault diagnosis are considered where only the target-mach...
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Published in | Neurocomputing (Amsterdam) Vol. 383; pp. 235 - 247 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
28.03.2020
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Subjects | |
Online Access | Get full text |
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