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

Weihua Li, Ruyi Huang, Jipu Li, Yixiao Liao, Zhuyun Chen, Guolin He, Ruqiang Yan, Konstantinos Gryllias

2021Mechanical Systems and Signal Processing780 citationsDOIOpen Access PDF

Topics & Concepts

Leverage (statistics)Computer scienceTransfer of learningArtificial intelligencePerspective (graphical)Field (mathematics)Deep learningMachine learningData scienceRepresentation (politics)Management scienceEngineeringLawPoliticsPolitical scienceMathematicsPure mathematicsMachine Fault Diagnosis TechniquesNon-Destructive Testing TechniquesFault Detection and Control Systems
A perspective survey on deep transfer learning for fault diagnosis in industrial scenarios: Theories, applications and challenges | Litcius