Remaining useful life prediction of rolling bearings based on Pearson correlation-KPCA multi-feature fusion
Yaping Wang, Jiajun Zhao, Chaonan Yang, Di Xu, Jianghua Ge
Topics & Concepts
Pattern recognition (psychology)Redundancy (engineering)Kernel principal component analysisPrincipal component analysisArtificial intelligenceFeature selectionComputer scienceArtificial neural networkFeature (linguistics)Correlation coefficientData miningPearson product-moment correlation coefficientCorrelationTime domainEngineeringSupport vector machineMachine learningMathematicsReliability engineeringStatisticsKernel methodComputer visionPhilosophyGeometryLinguisticsMachine Fault Diagnosis TechniquesGear and Bearing Dynamics AnalysisEngineering Diagnostics and Reliability