Nonlinear probabilistic monitoring based on the gaussian process latent variable model

Industrial and Engineering Chemistry Research

Volumn 49, Issue 10, 2010, Pages 4792-4799

  Ge, Zhiqiang ^a,b   Song, Zhihuan ^a,b  

^a STATE KEY LABORATORY OF INDUSTRIAL CONTROL TECHNOLOGY   (China)

^b ZHEJIANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN PROCESSES; LATENT VARIABLE MODELS; LINEAR PROCESS; MONITORING METHODS; MONITORING PERFORMANCE; NEW APPROACHES; NOISY PROCESS; NON-LINEAR RELATIONSHIPS; OPERATION CONDITIONS; PROBABILISTIC INTERPRETATION; PROBABILISTIC PRINCIPAL COMPONENT ANALYSIS; PROCESS DATA; PROCESS VARIABLES;

GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC);

PRINCIPAL COMPONENT ANALYSIS;

EID: 77952361709     PISSN: 08885885     EISSN: 15205045     Source Type: Journal    
DOI: 10.1021/ie9019402     Document Type: Article

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