DocumentCode
2439833
Title
Modeling Propagation of Gas Path Damage
Author
Goebel, Kai ; Qiu, Hai ; Eklund, Neil ; Yan, Weizhong
Author_Institution
NASA Ames Res. Center, Moffett Field
fYear
2007
fDate
3-10 March 2007
Firstpage
1
Lastpage
8
Abstract
This paper describes how damage propagation can be tracked and modeled for a range of fault modes in some modules of commercial high bypass aircraft engines. To that end, response surfaces of all sensors are generated via a thermo-dynamical simulation model for the engine (cycle deck) as a function of variations of flow and efficiency of the modules of interest. These surfaces are normalized and superimposed. Next, sensor readings are matched to those surfaces and -using an optimization approach -the corresponding flow and efficiency pair is found that best explains the sensor data. This flow and efficiency pair is then compared to previous pairs and the direction of the change as well as the rate of change is determined. The whole trajectory is then projected into the time domain. An extrapolation of the curve to the limit (which is established via operational margins) yields the remaining life. In a backward mode, the extrapolated curve is discretized and estimated future flow and efficiency pairs are retrieved. These pairs are then input to the cycle deck to produce future anticipated sensor readings as well as confirmatory trips of operational margins. Changes of the future sensor readings with real readings are used to adjust the remaining life calculations. The method is demonstrated on time series of historical engine faults.
Keywords
aerospace engines; extrapolation; fault diagnosis; thermodynamics; bypass aircraft engines; curve extrapolation; engine faults; fault modes; gas path damage; modeling propagation; sensor readings; thermo-dynamical simulation model; Aircraft propulsion; Biographies; Biological materials; Biosensors; Engines; Extrapolation; Heart; NASA; Response surface methodology; Thermal sensors;
fLanguage
English
Publisher
ieee
Conference_Titel
Aerospace Conference, 2007 IEEE
Conference_Location
Big Sky, MT
ISSN
1095-323X
Print_ISBN
1-4244-0524-6
Electronic_ISBN
1095-323X
Type
conf
DOI
10.1109/AERO.2007.352835
Filename
4161630
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