Aircraft engine sensor fault diagnostics using an on-line OBEM update methodReportar como inadecuado

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This paper proposed a method to update the on-line health reference baseline of the On-Board Engine Model OBEM to maintain the effectiveness of an in-flight aircraft sensor Fault Detection and Isolation FDI system, in which a Hybrid Kalman Filter HKF was incorporated. Generated from a rapid in-flight engine degradation, a large health condition mismatch between the engine and the OBEM can corrupt the performance of the FDI. Therefore, it is necessary to update the OBEM online when a rapid degradation occurs, but the FDI system will lose estimation accuracy if the estimation and update are running simultaneously. To solve this problem, the health reference baseline for a nonlinear OBEM was updated using the proposed channel controller method. Simulations based on the turbojet engine Linear-Parameter Varying LPV model demonstrated the effectiveness of the proposed FDI system in the presence of substantial degradation, and the channel controller can ensure that the update process finishes without interference from a single sensor fault.

Autor: Xiaofeng Liu, Naiyu Xue , Ye Yuan



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