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Artificial-Immune-System-Based Detection Scheme for Aircraft Engine Failures

机译：基于人工免疫系统的飞机发动机故障检测方案

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摘要

A detection scheme based on the artificial immune system paradigm was developed for specific classes of aircraft jet engine actuator and sensor failures, including throttle, burner fuel-flow valve, variable nozzle-area actuator, variable mixer-area actuator, low-pressure spool-speed sensor, low-pressure turbine exit static-pressure sensor, and mixer pressure-ratio sensor. The NASA Modular Aero-Propulsion System Simulation model was linearized and interfaced with a supersonic fighter aircraft model and a motion-based flight simulator, providing the adequate framework for development and testing. Several engine actuator and sensor failures were modeled and implemented into this simulation environment A five-dimensional hyperspace was determined to build the self within the artificial immune system paradigm for detection purposes. The artificial immune system interactive design environment based on evolutionary algorithms developed at West Virginia University was used for data processing, detector generation, and optimization. Flight-simulation data for system development and testing were acquired through experiments in a motion-based flight simulator over extended areas of the flight envelope. The performance of the artificial-immune-system-based detection scheme was evaluated in terms of detection rates and false alarms. Results show that the artificial-immune-system-based approach has excellent potential for the detection of all of the classes of engine failures considered.
机译：针对特定类型的飞机喷气发动机执行器和传感器故障，开发了一种基于人工免疫系统范式的检测方案，包括节气门，燃烧器燃油流量阀，可变喷嘴区域执行器，可变混合器区域执行器，低压阀芯-速度传感器，低压涡轮出口静压传感器和混合器压力比传感器。 NASA模块化航空推进系统仿真模型已线性化，并与超音速战斗机模型和基于运动的飞行仿真器接口，为开发和测试提供了足够的框架。在此模拟环境中对几种发动机执行器和传感器故障进行了建模并实施。确定了五维超空间，以在人工免疫系统范式内建立自我以进行检测。基于西弗吉尼亚大学开发的基于进化算法的人工免疫系统交互式设计环境被用于数据处理，检测器生成和优化。通过在基于运动的飞行模拟器中对飞行包线的扩展区域进行实验，获得了用于系统开发和测试的飞行模拟数据。基于检测率和错误警报评估了基于人工免疫系统的检测方案的性能。结果表明，基于人工免疫系统的方法对于检测所有考虑的发动机故障类别具有极好的潜力。

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