Identification of probabilistic graphical network model for root-cause diagnosis in industrial processes

Computers and Chemical Engineering

Volumn 71, Issue , 2014, Pages 171-209

  Mori, Junichi ^a   Mahalec, Vladimir ^a   Yu, Jie ^a  

^a MCMASTER UNIVERSITY   (Canada)

Author keywords

Cause effect relationship; Incidence matrix; Markov chain monte carlo simulation; Probabilistic graphical model; Root cause diagnosis; Structure learning

Indexed keywords

BAYESIAN NETWORKS; CHEMICAL PLANTS; MONTE CARLO METHODS;

CAUSE-EFFECT RELATIONSHIPS; INCIDENCE MATRICES; MARKOV CHAIN MONTE CARLO SIMULATION; PROBABILISTIC GRAPHICAL MODELS; STRUCTURE-LEARNING;

STRUCTURAL OPTIMIZATION;

EID: 84906501997     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compchemeng.2014.07.022     Document Type: Article

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