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Deep dynamic adaptation network: a deep transfer learning framework for rolling bearing fault diagnosis under variable working conditions

Huoyao Xu, Jie Liu, Xiangyu Peng, Junlang Wang, Chaoming He

2022Journal of the Brazilian Society of Mechanical Sciences and Engineering24 citationsDOI

Topics & Concepts

Computer scienceArtificial intelligenceDeep learningAutoencoderClassifier (UML)Pattern recognition (psychology)Deep belief networkTransfer of learningTest dataFeature extractionFault (geology)Data miningMachine learningGeologySeismologyProgramming languageMachine Fault Diagnosis TechniquesGear and Bearing Dynamics AnalysisMechanical Failure Analysis and Simulation
Deep dynamic adaptation network: a deep transfer learning framework for rolling bearing fault diagnosis under variable working conditions | Litcius