The use of kalman filter and neural network methodologies in gas turbine performance diagnostics: A comparative study

Journal of Engineering for Gas Turbines and Power

Volumn 125, Issue 4, 2003, Pages 917-924

  Volponi, A J ^a   DePold, H ^a   Ganguli, R ^a   Daguang, C ^b  

^a PRATT AND WHITNEY   (United States)

^b BEIHANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ENGINE SYSTEM MALFUNCTIONS; GAS TURBINE PERFORMANCE DIAGNOSTICS; MILITARY ENGINES;

ARTIFICIAL INTELLIGENCE; FAULT TOLERANT COMPUTER SYSTEMS; KALMAN FILTERING; NEURAL NETWORKS; PARAMETER ESTIMATION; STATISTICAL METHODS;

GAS TURBINES;

GAS TURBINE;

EID: 10244270054     PISSN: 07424795     EISSN: None     Source Type: Journal    
DOI: 10.1115/1.1419016     Document Type: Article

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