Litcius/Paper detail

Self-supervised feature extraction via time–frequency contrast for intelligent fault diagnosis of rotating machinery

Yang Liu, Weigang Wen, Yihao Bai, Qingzhou Meng

2023Measurement34 citationsDOI

Topics & Concepts

Fault (geology)Feature extractionGeneralizationTime domainArtificial intelligenceComputer sciencePipeline (software)Feature (linguistics)Pattern recognition (psychology)VibrationTime–frequency analysisFrequency domainField (mathematics)Contrast (vision)EngineeringComputer visionAcousticsGeologyProgramming languageMathematicsLinguisticsPhysicsSeismologyPure mathematicsPhilosophyFilter (signal processing)Mathematical analysisMachine Fault Diagnosis TechniquesEngineering Diagnostics and ReliabilityStructural Integrity and Reliability Analysis
Self-supervised feature extraction via time–frequency contrast for intelligent fault diagnosis of rotating machinery | Litcius