Self-supervised signal representation learning for machinery fault diagnosis under limited annotation data
Huan Wang, Zhiliang Liu, Yipei Ge, Dandan Peng
Topics & Concepts
Computer scienceArtificial intelligenceFeature learningFault (geology)Convolutional neural networkSIGNAL (programming language)Machine learningPattern recognition (psychology)Deep learningRepresentation (politics)Feature (linguistics)Supervised learningArtificial neural networkProgramming languageSeismologyPhilosophyLinguisticsPoliticsLawPolitical scienceGeologyMachine Fault Diagnosis TechniquesEngineering Diagnostics and ReliabilityGear and Bearing Dynamics Analysis