A self-supervised contrastive learning framework with the nearest neighbors matching for the fault diagnosis of marine machinery
Ruihan Wang, Hui Chen, Cong Guan
Topics & Concepts
Computer scienceDiscriminative modelClassifier (UML)Artificial intelligencePattern recognition (psychology)Feature learningk-nearest neighbors algorithmMachine learningFeature matchingMatching (statistics)Feature (linguistics)Feature extractionData miningMathematicsLinguisticsPhilosophyStatisticsStructural Integrity and Reliability AnalysisMachine Fault Diagnosis TechniquesWelding Techniques and Residual Stresses