It is challenging to have a goodfault diagnostic scheme that can distinguish between model uncertainties and occurrence of faults, which helps in reducing false alarms and missed detections. A dynamic threshold algorithm is developed for aircraft engine sensor fault diagnosis that accommodates parametric uncertainties. Using the robustness analysis of parametric uncertain systems, upper-and-lower bound trajectories for the dynamic threshold are generated. The extent of parametric uncertainties is assumed to be such that the perturbed eigenvalues reside in a set of distinct circular regions. Dedicated observer scheme is used for engine sensorfault diagnosis design. The residuals are errors between estimated state variables from a bank of Kaimanfilters. With this design approach, the residual crossing the upper-and-lower bounds of the dynamic threshold indicates the occurrence of fault. Application to an aircraft gas turbine engine Component Level Model clearly illustrates the improved performance of the proposed method.
Dynamic threshold method based aircraft engine sensor fault diagnosis
2009
7 Seiten, 4 Bilder, 2 Tabellen, 13 Quellen
Aufsatz (Konferenz)
Englisch
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