Smeta-LU: A self-supervised meta-learning fault diagnosis method for rotating machinery based on label updating
Zhiqian Zhao, Yinghou Jiao, Yeyin Xu, Zhaobo Chen, Runchao Zhao, Runchao Zhao
Topics & Concepts
Artificial intelligenceFault (geology)Computer scienceMachine learningPattern recognition (psychology)EngineeringBiologyPaleontologyMachine Fault Diagnosis TechniquesFault Detection and Control SystemsEngineering Diagnostics and Reliability