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基于BP神经网络的某型飞机火控系统故障诊断
引用本文:黄志彦,兰冰,刘世仁,李自云.基于BP神经网络的某型飞机火控系统故障诊断[J].电光与控制,2006,13(5):69-72.
作者姓名:黄志彦  兰冰  刘世仁  李自云
作者单位:中国人民解放军93033部队基础教研室,沈阳,110141
摘    要:根据某型飞机火控系统的特点,给出了BP神经网络数学模型及其学习算法,在此基础上以某型飞机火控系统作为为被诊断对象,运用BP神经网络数学模型及其学习算法对其进行故障诊断。诊断结果表明BP神经网络不仅能识别出样本自身的故障,而且能准确诊断出样本以外数据故障,提高某型飞机火控系统一线维修保障效率。

关 键 词:BP神经网络  火控系统  故障诊断
文章编号:1671-637X(2006)05-0069-04
收稿时间:2005-08-08
修稿时间:2005-08-082005-10-25

Fault diagnosis of a certain type of aircraft fire control system based on BP neural network
HUANG Zhi-yan,LAN Bing,LIU Shi-ren,LI Zi-yun.Fault diagnosis of a certain type of aircraft fire control system based on BP neural network[J].Electronics Optics & Control,2006,13(5):69-72.
Authors:HUANG Zhi-yan  LAN Bing  LIU Shi-ren  LI Zi-yun
Affiliation:Unit 93033 of the PLA, Shenyang 110141, China
Abstract:According to the characteristics of the fire control system(FCS) on a certain type of aircraft,we select Error Back Propagation(BP) Network for fault diagnosis of the FCS.The mathematic model and learning method of BP Network were studied.Then we used the model and the learning method for fault diagnosis of the FCS.The diagnosis result indicated that the BP neural network can not only identify effectively the fault of the sample itself but also identify accurately the fault out of the sample,thus the field maintenance efficiency of the FCS can be improved.
Keywords:BP neural network  fire control system  fault diagnosis
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