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Multi-perspective deep transfer learning model: A promising tool for bearing intelligent fault diagnosis under varying working conditions

Xue‐Gang Li, Xingxing Jiang, Qian Wang, Lidong Yang, Zhijian Wang, Changqing Shen, Zhongkui Zhu

2022Knowledge-Based Systems48 citationsDOI

Topics & Concepts

Discriminative modelArtificial intelligenceComputer scienceMachine learningFeature vectorClassifier (UML)Transfer of learningFault (geology)Bearing (navigation)Pattern recognition (psychology)Data miningGeologySeismologyMachine Fault Diagnosis TechniquesGear and Bearing Dynamics AnalysisInfrastructure Maintenance and Monitoring
Multi-perspective deep transfer learning model: A promising tool for bearing intelligent fault diagnosis under varying working conditions | Litcius