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Simulation-to-real transfer learning for bearing fault diagnosis across working conditions: A hybrid approach combining physical modeling and data-driven techniques

Zhongze Han, Wenrui Xia, Weiming Shen, Qiu‐Ning Zhu, Hongqi Liu, Chaoyong Zhang

2025Advanced Engineering Informatics8 citationsDOI

Topics & Concepts

Computer scienceFeature (linguistics)Artificial intelligenceFault (geology)Feature learningDiscriminative modelFeature extractionDomain (mathematical analysis)Transfer of learningPattern recognition (psychology)Convolutional neural networkRepresentation (politics)GeneralizationConstruct (python library)Machine learningFeature vectorBearing (navigation)WaveletWavelet transformData miningEngineeringDomain knowledgeFrequency domainDeep learningFault detection and isolationTime domainControl reconfigurationConvolution (computer science)Machine Fault Diagnosis TechniquesDomain Adaptation and Few-Shot LearningModel Reduction and Neural Networks
Simulation-to-real transfer learning for bearing fault diagnosis across working conditions: A hybrid approach combining physical modeling and data-driven techniques | Litcius