Multiple-model sensor and components fault diagnosis in gas turbine engines using autoassociative neural networks

Journal of Engineering for Gas Turbines and Power

Volumn 136, Issue 9, 2014, Pages

  Sadough Vanini, Z N ^a   Meskin, N ^b   Khorasani, K ^a  

^a Dept of Electrical and Computer Engineering   (Canada)

^b Qatar University   (Qatar)

Author keywords

[No Author keywords available]

Indexed keywords

JET ENGINES; NEURAL NETWORKS; SENSORS;

AIRCRAFT JET ENGINES; AUTOASSOCIATIVE NEURAL NETWORKS; COMPONENT FAULT DETECTIONS; DYNAMIC NEURAL NETWORKS; FAULT DETECTION AND ISOLATION SCHEMES; MULTIPLE-MODEL APPROACHES; PERFORMANCE CAPABILITY; SENSOR DATA VALIDATION;

FAULT DETECTION;

EID: 84900022471     PISSN: 07424795     EISSN: 15288919     Source Type: Journal    
DOI: 10.1115/1.4027215     Document Type: Article

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