一种涡轮泵故障阈值检测算法

涡轮泵是火箭发动机的心脏,是火箭发动机中的高速旋转组件,也是故障率较高的部件之一。涡轮泵的可靠性在整个发动机的可靠性中占有重要地位。传统的故障检测有时会出现虚警或漏警的现象,而且主要用于试车后的状态分析与评估;在实时故障检测中存在很大的不足。涡轮泵发生故障的主要原因是由于振动,因此振动加速信号研究对涡轮泵的故障检测显得尤为重要。通过一种阈值检测算法对振动加速信号进行研究,并结合已有涡轮泵故障信息对该算法进行验证,验证了该算法的准确性、实时性等要求。

Adaptive Threshold-based Turbo-pump Real-time Fault Detection Algorithm

The turbo pump is the heart of the rocket engine, whitch is a high-speed rotating componet, and is also one of the higher parts of the engine failure rate.The reliability of the turbo pump in the engine plays an important role. Traditional health monitoring system can sometimes be a false alarm or missed alarm phenomenon, there is a great lack of state analysis and evaluation, and is mainly used to test in real-time fault detection. Turbopump failure is maily due to vibration,the vibration signal of the turbopump fault detection is particularly important. In this paper, an adaptive fault detection algorithm to study the vibration on signal and combined with exiting turbopump failure of the algorithm to validate and verify the accuracy of the detection algorithm, real-time requiremengts.