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首页> 外文会议>ASME(American Society of Mechanical Engineers) Turbo Expo vol.1; 20070514-17; Montreal(CA) >INTEGRATION OF ON-LINE AND OFF-LINE DIAGNOSTIC ALGORITHMS FOR AIRCRAFT ENGINE HEALTH MANAGEMENT
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INTEGRATION OF ON-LINE AND OFF-LINE DIAGNOSTIC ALGORITHMS FOR AIRCRAFT ENGINE HEALTH MANAGEMENT

机译：在线和离线诊断算法在飞机发动机健康管理中的集成

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摘要

This paper investigates the integration of on-line and offline diagnostic algorithms for aircraft gas turbine engines. The on-line diagnostic algorithm is designed for in-flight fault detection. It continuously monitors engine outputs for anomalous signatures induced by faults. The off-line diagnostic algorithm is designed to track engine health degradation over the lifetime of an engine. It estimates engine health degradation periodically over the course of the engine's life. The estimate generated by the off-line algorithm is used to "update" the on-line algorithm. Through this integration, the on-line algorithm becomes aware of engine health degradation, and its effectiveness to detect faults can be maintained while the engine continues to degrade. The benefit of this integration is investigated in a simulation environment using a nonlinear engine model.
机译：本文研究了飞机燃气涡轮发动机的在线和离线诊断算法的集成。在线诊断算法设计用于飞行中的故障检测。它连续监视发动机输出，以查找由故障引起的异常特征。离线诊断算法旨在跟踪发动机使用寿命内的发动机运行状况恶化。它会估计发动机在整个使用寿命过程中的健康状况退化。离线算法生成的估计值用于“更新”在线算法。通过这种集成，在线算法可以了解发动机运行状况的恶化，并且可以在发动机继续退化的同时保持其检测故障的有效性。在使用非线性引擎模型的仿真环境中研究了这种集成的好处。

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