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.


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    Title :

    Dynamic threshold method based aircraft engine sensor fault diagnosis


    Contributors:


    Publication date :

    2009


    Size :

    7 Seiten, 4 Bilder, 2 Tabellen, 13 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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