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Real time failure detection algorithm for the Space Shuttle main engine

机译:航天飞机主机的实时故障检测算法

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摘要

A real-time fault detection algorithm for the Space Shuttle main engine (SSME) is presented in this article. The system for anomaly and failure detection (SAFD) has been successfully tested on the NASA Technology Test Bed (TTB)engine at Marshall Space Flight Center in Alabama. It is currently being tested on the NASA Stennis test stand A-1, and has already proved its capability by detecting a failure earlier than a plume observer, while the redline system did not even detect the fault. It detects failures during steady-state and power throttling engine operation by monitoring 24 engine parameters in a real-time manner. The signal averages are compared with upper and lower safety limits, and if a multiple of sensor outputs violate the limits then a fault is flagged.
机译:本文提出了一种航天飞机主机(SSME)的实时故障检测算法。异常和故障检测系统(SAFD)已在阿拉巴马州马歇尔太空飞行中心的NASA技术测试台(TTB)发动机上成功测试。它目前正在NASA Stennis测试台A-1上进行测试,并且已经通过比羽流观察器更早地检测到故障来证明了其功能,而红线系统甚至没有检测到故障。它通过实时监视24个发动机参数来检测稳态和节流发动机运行期间的故障。将信号平均值与安全上限和下限进行比较,如果多个传感器输出违反该上限,则会标记出故障。

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