Model Based Diagnostics of an Aircraft Generator Using AAKR and SPRT 2010-01-1761
Electrical power generation is an important component in the Electrical Power System of an Aircraft (EPS). In this paper we present a model based diagnostic framework for early generator degradation detection and tracking within an Aircraft Generator. The nominal health state is modeled empirically using an Auto-associative Kernel Regression (AAKR) technique using signals extracted from a healthy generator. Later the health state is estimated by comparing sensor observations with the model predictions. Finally, a Sequential Probability Ratio Test (SPRT) is used to detect and track degradation. This model based framework showed excellent degradation tracking performance when it was tested on a unit that was run to failure.
Citation: Kappaganthu, K., Li, Y., and Hernandez, L., "Model Based Diagnostics of an Aircraft Generator Using AAKR and SPRT," SAE Int. J. Aerosp. 3(1):137-143, 2010, https://doi.org/10.4271/2010-01-1761. Download Citation
Author(s):
Karthik Kappaganthu, Yuan Li, Luis Hernandez
Affiliated:
Global Strategic Solutions, LLC
Pages: 7
Event:
Power Systems Conference
ISSN:
1946-3855
e-ISSN:
1946-3901
Also in:
SAE International Journal of Aerospace-V119-1, SAE International Journal of Aerospace-V119-1EJ
Related Topics:
Electric power
Aircraft
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