关键词: 液体火箭发动机;涡轮泵;故障诊断;人工免疫

Abstract: Based on vibration signal of turbopump, this paper presents a fault diagnosis method using negative selection mechanism of the biology immune system, researching on a abnormality online monitoring method which suits for turbopump of liquid rocket engine. This method uses biology clone and learning mechanism technique to improve negative selection algorithm to generate detectors having different monitoring radius, and covers abnormality space effectively, at the same time, avoids problems such as the low efficiency of generating detectors etc. The results of monitoring example show that this method not only can solve the difficulty of obtaining fault sample preferably and extract the turbopump of liquid rocket engine state character effectively, but also can detect abnormality by caused various fault of the turbopump accurately. The exact diagnosis precision indicates this method is feasible, and has better on-line quality, accuracy and robustness. This method explores a new route for turbopump of liquid rocket engine fault monitoring.

Key words: Liquid rocket engine; Turbopump; Fault diagnosis; Artificial immune