A novel deep clustering network using multi-representation autoencoder and adversarial learning for large cross-domain fault diagnosis of rolling bearings
Haoran Wen, Wei Guo, Xiang Li
Topics & Concepts
AutoencoderComputer scienceArtificial intelligenceCluster analysisDeep learningFeature learningConvolutional neural networkData miningTransfer of learningPattern recognition (psychology)Fault (geology)GraphDeep belief networkMachine learningTheoretical computer scienceGeologySeismologyMachine Fault Diagnosis TechniquesGear and Bearing Dynamics AnalysisMechanical Failure Analysis and Simulation