Physics-informed Gaussian process regression for tool wear monitoring with uncertainty quantification
Zenghui Wang, Guanghui Zhou, Chao Zhang, Qinge Xiao, Enrico Zio
Topics & Concepts
KrigingTool wearInterpretabilityGaussian processMachiningProbabilistic logicUncertainty quantificationMachine learningSupport vector machineProcess (computing)Computer scienceData miningEngineeringFeature (linguistics)Curse of dimensionalityHyperparameter optimizationArtificial intelligenceStructural health monitoringDomain (mathematical analysis)AdaptabilityDomain knowledgeCutting toolUncertainty analysisGaussianTime domainCondition monitoringNonlinear systemDimensionality reductionPrediction intervalStatistical modelRegressionReliability engineeringRegression analysisSensor fusionPredictive modellingLinear regressionMean squared errorPartial least squares regressionFrequency domainData-drivenMachine Fault Diagnosis TechniquesMachine Learning and ELMAdvanced machining processes and optimization