Title :
Estimation of multiple faults in aircraft gas-turbine engines
Author :
Sarkar, Soumik ; Rao, Chinmay ; Ray, Asok
Author_Institution :
Dept. of Mech. Eng., Pennsylvania State Univ., University Park, PA, USA
Abstract :
This paper presents estimation of multiple faults in aircraft gas-turbine engines, based on a statistical pattern recognition tool called symbolic dynamic filtering (SDF). The underlying concept is built upon statistical analysis of evidences to estimate anomalies in multiple critical parameters of the engine system; it also presents a framework for sensor information fusion. The fault estimation algorithm is validated by numerical simulation on the NASA C-MAPSS test-bed of commercial aircraft engines.
Keywords :
condition monitoring; fault diagnosis; gas turbines; jet engines; pattern recognition; sensor fusion; statistical analysis; NASA C-MAPSS test-bed; aircraft gas-turbine engines; anomalies estimation; health monitoring; multiple critical parameters; multiple fault estimation algorithm; sensor information fusion; statistical pattern recognition tool; symbolic dynamic filtering; turbofan engine; Aircraft propulsion; Engines; Filtering; NASA; Numerical simulation; Pattern recognition; Sensor fusion; Sensor systems; Statistical analysis; Testing; Aircraft Propulsion; Gas Turbine Engines; Multiple fault estimation; Statistical Pattern Recognition;
Conference_Titel :
American Control Conference, 2009. ACC '09.
Conference_Location :
St. Louis, MO
Print_ISBN :
978-1-4244-4523-3
Electronic_ISBN :
0743-1619
DOI :
10.1109/ACC.2009.5159981
