Fault detection based on Gaussian process latent variable models

Chemometrics and Intelligent Laboratory Systems

Volumn 109, Issue 1, 2011, Pages 9-21

  Serradilla, J ^a   Shi, J Q ^a   Morris, A J ^a  

^a NEWCASTLE UNIVERSITY   (United Kingdom)

Author keywords

Gaussian process; Latent variable models; Multivariate statistical process control (MSPC); Process monitoring

Indexed keywords

ANALYTICAL ERROR; ARTICLE; ARTIFICIAL NEURAL NETWORK; CALCULATION; COMPUTER SIMULATION; GAUSSIAN PROCESS LATENT VARIABLE MODEL; KERNEL METHOD; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; NONLINEAR SYSTEM; NORMAL DISTRIBUTION; ONLINE SYSTEM; PREDICTION; PREDICTOR VARIABLE; PRIORITY JOURNAL; STRUCTURAL EQUATION MODELING;

EID: 80053639807     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2011.07.003     Document Type: Article

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