Health Monitoring for Jet Engines using Robust Filter based on Nonlinear Model

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  • 非線形モデルに基づくロバストフィルタを用いたジェットエンジンのヘルスモニタリング
  • ヒセンケイ モデル ニ モトズク ロバストフィルタ オ モチイタ ジェットエンジン ノ ヘルスモニタリング

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Abstract

<p>We develop a novel jet engine health monitoring method using a high-fidelity, physics-based simulation model. In jet engine health monitoring, fault detection with a state estimation is frequently carried out. However, a challenge for a filtering-based health monitoring method with a high-fidelity model is the difficulty to analytically obtain the Jacobians, which is required for the extended Kalman filter. Our approach is to derive a linearized model a priori at a fixed operation point, and use a robust filter method to guarantee a reliable health monitoring over a wide range of operation points despite the linearization errors. We validate the proposed method by extensive simulations.</p>

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