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Publication

A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges

Journal Contribution - Journal Article

Journal: Mechanical Systems and Signal Processing

ISSN: 0888-3270

Volume: 167

Publication year:2022

WoS Id: 000714717500007
DOI: https://doi.org/10.1016/j.ymssp.2021.108487
Institutional Repository URL: https://lirias.kuleuven.be/3643631

Accessibility:Open