Physics-informed auto-encoder based on digital twin for rolling bearing fault diagnosis under imbalanced sample conditions
Zhiwu Shang, Ziyu Wang, Cailu Pan, Wanxiang Li, Maosheng Gao
Topics & Concepts
Computer scienceInterpretabilityFault (geology)ResamplingArtificial intelligenceBearing (navigation)Sample (material)Data miningFeature vectorIdentification (biology)Machine learningPattern recognition (psychology)Artificial neural networkRanking (information retrieval)Reliability (semiconductor)Feature (linguistics)Feature extractionVibrationGenerative modelFault SimulatorFault detection and isolationAutoencoderMachine Fault Diagnosis TechniquesGear and Bearing Dynamics AnalysisMachine Learning and ELM