A fault diagnosis method for industrial gas turbines using Bayesian data analysis

Journal of Engineering for Gas Turbines and Power

Volumn 132, Issue 4, 2010, Pages

  Lee, Young K ^a   Mavris, Dimitri N ^a   Volovoi, Vitali V ^a   Yuan, Ming ^a   Fisher, Ted ^b  

^a Georgia Institute of Technology   (United States)

^b GE ENERGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN DATA ANALYSIS; BAYESIAN MODEL; FAULT DIAGNOSIS; FAULT DIAGNOSIS METHOD; FUEL FLOW; GENERAL MODEL; GIBBS SAMPLING; HIERARCHICAL MODEL; INDUSTRIAL GAS TURBINES; MAINTENANCE COST; MULTIPLE COMPONENTS; MULTIPLE FAULTS; MULTIPLE MODELS; OFFLINE; PREDICTIVE MAINTENANCE; SENSOR BIAS; SINGLE FAULT;

BAYESIAN NETWORKS; COMPRESSORS; DATA REDUCTION; GAS TURBINES; HIERARCHICAL SYSTEMS; PREVENTIVE MAINTENANCE; RANDOM ERRORS; SENSORS; SYSTEMATIC ERRORS; TURBOMACHINERY;

GASES;

EID: 78149284596     PISSN: 07424795     EISSN: 15288919     Source Type: Journal    
DOI: 10.1115/1.3204508     Document Type: Article

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