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

Deep Transfer Learning (DTL) is a new paradigm of machine learning, which can not only leverage the advantages of Deep Learning (DL) in feature representation, but also benefit from the superiority of Transfer Learning (TL) in knowledge transfer. As a result, DTL techniques can make DL-based fault d...

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Veröffentlicht in:	Mechanical systems and signal processing 2022-03, Vol.167, p.108487, Article 108487
Hauptverfasser:	Li, Weihua, Huang, Ruyi, Li, Jipu, Liao, Yixiao, Chen, Zhuyun, He, Guolin, Yan, Ruqiang, Gryllias, Konstantinos
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Deep learning Deep transfer learning Domain adaptation Fault diagnosis Industrial applications Knowledge management Machine learning Transfer learning
Online-Zugang:	Volltext
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