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基于模糊神经网络的陀螺温控系统故障诊断
引用本文:郝顺义,柴竹琴,黄义顺.基于模糊神经网络的陀螺温控系统故障诊断[J].火力与指挥控制,2009(Z1).
作者姓名:郝顺义  柴竹琴  黄义顺
作者单位:空军工程大学工程学院;海军92323部队航保厂;
摘    要:针对故障诊断知识具有模糊性的特点,在基本前向神经网络的基础上,提出了一种适用于挠性陀螺温控系统的串形结构多层前向模糊神经网络(FNN)的故障诊断方法,并给出了网络的结构和学习方法。仿真结果表明,将模糊理论和神经网络方法结合在一起,可以准确地对陀螺温控系统进行故障诊断,证明了该方法行之有效。

关 键 词:陀螺温控系统  故障诊断  模糊  神经网络  

Fault Diagnosis for Gyro Temperature-control System based on Fuzzy Neural Network
HAO Shun-yi,CHAI Zhu-qin,HUANG Yi-shun.Fault Diagnosis for Gyro Temperature-control System based on Fuzzy Neural Network[J].Fire Control & Command Control,2009(Z1).
Authors:HAO Shun-yi  CHAI Zhu-qin  HUANG Yi-shun
Institution:1.The Engineering Institute;AFEU;Xi'an 710038;China;2.Navigation Guarantee Factory of Dept.92323;Qingdao 266071;China
Abstract:According to characteristic of the fuzzy property of the fault diagnosis(FD) knowledge,a FD approach based on fuzzy neural network(FNN) of strand structure and multilayer is presented for the gyro temperature-control system in this paper,and the structure of the FNN is given and the learning method is introduced.Simulation result showed that the fault of the gyro temperature control system is diagnosed exactly by using fuzzy theory and neural network together,this algorithm is useful and effective.
Keywords:gyro temperature control system  fault diagnosis  fuzzy  neural network  
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