基于云神经网络的空间推进系统故障检测与诊断

Cloud Neural Network Based Fault Detection and Diagnosis of Space Propulsion System

本文提出并研究了用于空间推进系统故障检测与诊断的云神经网络方法,并以某空间推进系统推力器为研究对象进行了验证。仿真结果表明,该方法用于推力器故障检测与诊断是可行的,辨识精度较高,能够实时反映推力器工作状况,并能及时判断。

An approach of cloud neural network was proposed and used for fault detection and diagnosis of the space propulsion system. A physical propulsion system of space vehicle was used to validate the approach. The simulated result demonstrates that the new approach can provide a real-time description for work state of the propulsion system with higher identify precision and makes fault defection decision in time.