CFENet: A contrastive frequency-sensitive learning method for gas-insulated switch-gear fault detection under varying operating conditions using acoustic signals
Zipeng Zhang, Houguang Liu, Yuying Shao, Jianhua Yang, Songyong Liu, Guogang Yuan
Topics & Concepts
Computer scienceFault (geology)Fault detection and isolationAcousticsArtificial intelligenceActuatorGeologyPhysicsSeismologyMachine Fault Diagnosis TechniquesGear and Bearing Dynamics AnalysisAdvanced Machining and Optimization Techniques