Towards unified aleatory and epistemic uncertainty quantification for machinery health prognostic through sequential heteroscedastic Gaussian process regression
Tao Liang, Fuli Wang, Shu Wang, Kang Li, Xiang Ma, Xuelei Mo
Topics & Concepts
Uncertainty quantificationHeteroscedasticityKrigingGaussian processRegressionProcess (computing)Computer scienceArtificial intelligenceGaussianEconometricsMathematicsMachine learningStatisticsChemistryOperating systemComputational chemistryFault Detection and Control SystemsMachine Fault Diagnosis TechniquesAdvanced Combustion Engine Technologies