基于模糊神经网络的武器控制系统信号分析

某新型飞机武器控制系统故障诊断过程复杂,故障征兆和故障原因之间存在着许多不确定因素,精确定位故障存在许多困难.针对这种情况,提出了基于模糊神经网络,研究了模糊神经网络技术在武器控制系统故障诊断领域的应用,并根据系统本身的特点,提出了诊断和算法模型.在此基础上,研制出武器控制系统检查仪,对该方法作了验证.结果表明:该方法是可行和有效的.

Signal Analysis of Weapon Control System based on Fuzzy Neural Network

It's well known that the process of the weapon control system fault diagnosis is complicated.There are many uncertain factors between the fault symptoms and the fault causes,so it's difficult to construct the fault diagnosis system with high precision.To cope with the difficulty,a method to construct the diagnosis system based on fuzzy neural network(FNN) is presented.The application of FNN technology is studied in the field of the weapon control system fault diagnosis.A diagnosis and algorithm model is presented because of the characteristic of the system.We test our method to produce a testing equipment of the weapon control system.The result shows that this method is feasible and effective.