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A contrastive learning framework enhanced by unlabeled samples for remaining useful life prediction

Ziqian Kong, Xiaohang Jin, Zhengguo Xu, Zian Chen

2023Reliability Engineering & System Safety43 citationsDOI

Topics & Concepts

Computer scienceGeneralizationArtificial intelligenceScalabilitySample (material)Convolutional neural networkDegradation (telecommunications)Artificial neural networkMachine learningSet (abstract data type)Pattern recognition (psychology)MathematicsChromatographyDatabaseChemistryMathematical analysisProgramming languageTelecommunicationsMachine Fault Diagnosis TechniquesReliability and Maintenance OptimizationNon-Destructive Testing Techniques
A contrastive learning framework enhanced by unlabeled samples for remaining useful life prediction | Litcius