This content is not included in your SAE MOBILUS subscription, or you are not logged in.
Model Based Diagnostics of an Aircraft Generator Using AAKR and SPRT
ISSN: 1946-3855, e-ISSN: 1946-3901
Published November 02, 2010 by SAE International in United States
Event: Power Systems Conference
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.
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.