A novel interpretability paradigm based on semantic features of time–frequency images for trustworthy cross-machine fault diagnosis
Xin Kang, Zhengyang Cheng, Chen Duan, Junsheng Cheng, Yu Yang
Topics & Concepts
InterpretabilityComputer scienceTrustworthinessArtificial intelligenceFault (geology)Machine learningData miningComputer securityGeologySeismologyFault Detection and Control SystemsMachine Fault Diagnosis TechniquesAnomaly Detection Techniques and Applications