Litcius/Paper detail

A novel optimized multi-kernel relevance vector machine with selected sensitive features and its application in early fault diagnosis for rolling bearings

Fafa Chen, Mengteng Cheng, Baoping Tang, Wenrong Xiao, Baojia Chen, Xiaotao Shi

2020Measurement51 citationsDOI

Topics & Concepts

VibrationFault (geology)Time domainFrequency domainSupport vector machineWaveletBearing (navigation)EngineeringRelevance vector machineFeature (linguistics)Feature vectorPattern recognition (psychology)Computer scienceSIGNAL (programming language)Artificial intelligenceKernel (algebra)AcousticsComputer visionMathematicsSeismologyProgramming languageGeologyPhilosophyPhysicsLinguisticsCombinatoricsMachine Fault Diagnosis TechniquesFault Detection and Control SystemsSpectroscopy and Chemometric Analyses
A novel optimized multi-kernel relevance vector machine with selected sensitive features and its application in early fault diagnosis for rolling bearings | Litcius