某火箭发动机故障检测及诊断算法设计分析

针对某型号液体火箭发动机故障检测及诊断软件存在瞬态段（起动段、关机段）故障检测功能缺失、故障诊断无法给出故障量大小的问题，在原软件故障诊断算法——余弦相似度分类的基础上，通过引入故障因子定量给出故障量大小，实现发动机故障诊断的定性定量分析。同时，采用基于统计学基础的包络线算法，通过Python语言对发动机瞬态段故障检测算法进行设计开发，使原软件实现发动机瞬态段故障检测功能。通过仿真试车数据对软件算法进行验证，结果表明优化后的故障诊断功能可实现故障量大小计算，基于包络线算法开发的故障检测功能提高了发动机故障检测效率。

Design Analysis of Fault Detection and Diagnosis Algorithms for Rocket Engine

Aiming at the problem that the fault detection and diagnosis software of a certain type liquid rocket engine lack the function of fault detection in the transient section(start-up and end-up) and fault diagnosis can not give the degree of fault, the fault magnitude is quantitatively determined by introducing the fault factor zm_i on the basis of the original software fault diagnosis algorithm-cosine similarity classification, which realizes qualitative and quantitative analysis of engine fault diagnosis. At the same time, designing and developing the envelope algotithm based on statistics by Python language so that the original software can realize transient section fault detection function of rocket engine. The algorithm of software is validated by simulation test data. And the results show that the optimized fault diagnosis function can calculate the degree of fault and the fault detection function based on envelope algorithm improves the efficiency of rocket engine fault detection.