A Generalized Likelihood Ratio Test for Adaptive Gas Turbine Performance Monitoring

Borguet, Sébastien; Léonard, Olivier

doi:10.1115/1.2967493

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A Generalized Likelihood Ratio Test for Adaptive Gas Turbine Performance Monitoring

Borguet, Sébastien; Léonard, Olivier

2009 • In Journal of Engineering for Gas Turbines and Power, 131 (1)

Peer Reviewed verified by ORBi

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https://hdl.handle.net/2268/19947

DOI
10.1115/1.2967493

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Keywords :

gas path analysis,; adaptive estimation

Abstract :

[en] Kalman filters are widely used in the turbine engine community for health monitoring purposes. This algorithm has proven its capability to track gradual deterioration with good accuracy. On the other hand, its response to rapid deterioration is a long delay in recognizing the fault and/or a spread of the estimated fault on several components. The main reason for this deficiency lies in the transition model of the parameters that is blended in the Kalman filter and assumes a smooth evolution of the engine condition. This contribution reports the development of an adaptive diagnosis tool that combines a Kalman filter and a secondary system that monitors the residuals. This auxiliary component implements a generalized likelihood ratio test in order to detect and estimate all abrupt fault. The enhancement in terms of accuracy and reactivity brought by this adaptive Kalman filter is highlighted for a variety of simulated fault cases that may be encountered on a commercial aircraft engine. [DOI: 10.1115/1.2967493]

Disciplines :

Mechanical engineering
Aerospace & aeronautics engineering

Author, co-author :

Borguet, Sébastien ; Université de Liège - ULiège > Département d'aérospatiale et mécanique > Turbomachines et propulsion aérospatiale

Léonard, Olivier ; Université de Liège - ULiège > Département d'aérospatiale et mécanique > Turbomachines et propulsion aérospatiale

Language :

English

Title :

A Generalized Likelihood Ratio Test for Adaptive Gas Turbine Performance Monitoring

Publication date :

January 2009

Journal title :

Journal of Engineering for Gas Turbines and Power

ISSN :

0742-4795

eISSN :

1528-8919

Publisher :

American Society of Mechanical Engineers, New York, United States - New York

Volume :

131

Issue :

Peer reviewed :

Peer Reviewed verified by ORBi

Available on ORBi :

since 26 August 2009

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Bibliography

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