基于人工免疫的液体火箭发动机故障检测方法研究

为有效提高液体火箭发动机故障检测过程中的及时性、实时性及准确性，基于人工免疫系统中的阴性选择原理研究建立了液体火箭发动机故障检测的阴性选择算法与免疫实值算法，实现了液体火箭发动机稳态工作过程中的故障检测与报警。基于某大型泵压式液体火箭发动机实际试车数据的验证结果表明，研究建立的人工免疫故障检测方法能对发动机稳态工作阶段进行有效准确的故障检测与报警，相对以往传统的检测算法在故障检测时间上有了一定的缩短，对研究基于人工免疫的液体火箭发动机的故障检测与诊断系统提供了依据。

Research on fault detection method for liquid-propellant rocket engine based on artificial immune

To overcome the obstacles existed in the fault detection for liquid-propellant rocket engines such as the lack of real-time, in-time, and reliable, a negative selection algorithm and an immune practical value algorithm based on the immune mechanism were researched and developed in the paper. Results verified with a large amount of hot test data of a certain liquid-propellant rocket engine(LRE) showed that the algorithms could detect the faults occurred in the steady process of LRE efficiently and accurately. They can shorten the detection time compared with traditional algorithms. So it provides valuable reference for the development of future LRE artificial immune based fault detection and diagnosis system.