Residual signal-driven GAN framework for robust induction motor fault diagnosis under data scarcity conditions
Thanh-Tung Vo, Meng‐Kun Liu
Topics & Concepts
ResidualComputer scienceRobustness (evolution)Induction motorFault (geology)Benchmark (surveying)Data miningSubspace topologyFault detection and isolationArtificial intelligenceGenerator (circuit theory)Pattern recognition (psychology)Identification (biology)Condition monitoringMachine learningData modelingFeature extractionControl theory (sociology)SIGNAL (programming language)Control engineeringBoosting (machine learning)Machine Fault Diagnosis TechniquesFault Detection and Control SystemsAnomaly Detection Techniques and Applications