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A novel method based on deep transfer unsupervised learning network for bearing fault diagnosis under variable working condition of unequal quantity

Hao Su, Xin Yang, Ling Xiang, Aijun Hu, Yonggang Xu

2022Knowledge-Based Systems78 citationsDOI

Topics & Concepts

Computer scienceArtificial intelligenceFault (geology)Bearing (navigation)Pattern recognition (psychology)Convolution (computer science)PerceptronVariable (mathematics)Convolutional neural networkDivergence (linguistics)Domain (mathematical analysis)Deep learningTransfer of learningAdaptation (eye)Artificial neural networkDeep belief networkMachine learningData miningMathematicsOpticsPhysicsPhilosophySeismologyMathematical analysisLinguisticsGeologyMachine Fault Diagnosis TechniquesGear and Bearing Dynamics AnalysisOccupational Health and Safety Research
A novel method based on deep transfer unsupervised learning network for bearing fault diagnosis under variable working condition of unequal quantity | Litcius