Dynamic neural network-based fault diagnosis of gas turbine engines

Neurocomputing

Volumn 125, Issue , 2014, Pages 153-165

  Sina Tayarani Bathaie, S ^a   Sadough Vanini, Z N ^a   Khorasani, K ^a  

^a Dept of Electrical and Computer Engineering   (Canada)

Author keywords

Aircraft jet engine; Bank of filters; Computational intelligence; Dynamic neural networks; Fault detection and isolation; Fault diagnosis; Multiple model schemes

Indexed keywords

AIRCRAFT JET ENGINES; DYNAMIC NEURAL NETWORKS; FAULT DETECTION AND ISOLATION; FAULT DETECTION AND ISOLATION SCHEMES; FAULT DIAGNOSIS SCHEMES; INFINITE IMPULSE RESPONSE; MULTI-LAYER PERCEPTRON NETWORKS; MULTIPLE-MODELING;

ARTIFICIAL INTELLIGENCE; CONTROL EQUIPMENT; FAILURE ANALYSIS; FAULT DETECTION; IIR FILTERS; IMPULSE RESPONSE; NEURAL NETWORKS;

JET ENGINES;

AIRCRAFT; ANALYTICAL ERROR; ARTICLE; DUAL SPOOL TURBO FAN ENGINE; DYNAMIC NEURAL NETWORK; FAULT DETECTION AND ISOLATION SCHEME; GAS TURBINE ENGINE; MACHINE LEARNING; MOTOR VEHICLE; NONLINEAR SYSTEM; PRIORITY JOURNAL; QUALITY CONTROL PROCEDURES;

EID: 84888062344     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2012.06.050     Document Type: Article

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