Online fault diagnosis in nonlinear systems using the multiple operating regime approach

Industrial and Engineering Chemistry Research

Volumn 47, Issue 17, 2008, Pages 6711-6726

  Deshpande, Anjali P ^a   Patwardhan, Sachin C ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMOBILE PARTS AND EQUIPMENT; AUTOMOBILE TRANSMISSIONS; BAYESIAN NETWORKS; CHEMICAL ENGINEERING; CHEMICAL REACTIONS; CONTROL THEORY; DISTILLATION; DISTILLATION COLUMNS; ELECTRIC FAULT LOCATION; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; NONLINEAR SYSTEMS; PERTURBATION TECHNIQUES; SULFATE MINERALS;

BAYESIAN APPROACHES; BINARY DISTILLATION COLUMNS; CHEMICAL PROCESSING; COMPUTATIONALLY EFFICIENT; CONTINUOUSLY STIRRED TANK REACTOR; FAULT DIAGNOSIS; FAULT IDENTIFICATIONS; FAULT-ACCOMMODATION; FILTER-BASED; GENERALIZED LIKELIHOOD RATIO; HIGH-PURITY; HIGHLY NONLINEAR; LINEAR PERTURBATIONS; MULTI MODELING; MULTIPLE LINEAR MODELS; NON-LINEAR PROCESSING; NON-LINEAR VERSIONS; ON LINE FAULT DIAGNOSIS; OPERATING POINTS; OPERATING RANGES; OPERATING REGIMES; PERFORMANCE DEGRADATION; PLANT DYNAMICS; SIMULATION RESULTS; SIMULATION STUDIES; SUB MODELS; TRANSIENT STATES;

ONLINE SYSTEMS;

EID: 51849150696     PISSN: 08885885     EISSN: None     Source Type: Journal    
DOI: 10.1021/ie071593q     Document Type: Conference Paper

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