Fault diagnosis for certain missile AC ground electrical source based on neural network

YANG Jun-he; FAN Jin-suo; ZHANG He-xin

doi:10.13873/j.1000-97872007.11.008

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Fault diagnosis for certain missile AC ground electrical source based on neural network

更新时间：2025-09-11

- Fault diagnosis for certain missile AC ground electrical source based on neural network
- Issue 11, Pages: 17-18+21(2007)
- 作者机构：
  
  1. 第二炮兵工程学院
  2. 第二炮兵工程学院,陕西,西安,710025
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872007.11.008
  CLC： TJ760.7
- Published：2007
- 稿件说明：
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[1]杨俊河,范金锁,张合新.基于神经网络的某导弹交流地面电源故障诊断[J].传感器与微系统,2007(11):17-18+21.

YANG Jun-he, FAN Jin-suo, ZHANG He-xin. Fault diagnosis for certain missile AC ground electrical source based on neural network[J]. 2007, (11): 17-18+21.
[1]杨俊河,范金锁,张合新.基于神经网络的某导弹交流地面电源故障诊断[J].传感器与微系统,2007(11):17-18+21. DOI： 10.13873/j.1000-97872007.11.008.

YANG Jun-he, FAN Jin-suo, ZHANG He-xin. Fault diagnosis for certain missile AC ground electrical source based on neural network[J]. 2007, (11): 17-18+21. DOI： 10.13873/j.1000-97872007.11.008.

摘要

设计了一种基于神经网络的故障诊断系统

利用神经网络的独特优点

以实现对某导弹交流地面电源容易出现的故障进行快速定位和智能诊断。实验结果表明:神经网络不仅能够识别出所有已经训练过的模式

还可对未曾训练过的模式具有一定的联想推理能力。

Abstract

A fault diagnosis system based on neural network is designed

and the particular merit of neural network is used to make quick orientation and intelligent diagnosis of easy-happening faults for certain missile AC ground electrical source.Result of the experiment indicates that neural network can not only identify all of the modes which have been trained

but also have certain ratiocination ability for the modes which have not been trained.

关键词

Keywords

references

基于神经网络的故障诊断专家系统研究 [J]. 成曙,董程林,陈科吉,杜磊. 微计算机信息 . 2006(31)

MATLAB 7.0基础教程[M]. 清华大学出版社 , 孙祥,徐流美,吴清编著, 2005

控制系统故障诊断与容错控制的分析和设计[M]. 国防工业出版社 , 胡昌华,许化龙著, 2000

智能传感器系统[M]. 西安电子科技大学出版社 , 刘君华编著, 1999

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Related Institution

School of Electric and Electronic Engineering,Harbin University of Science and Technology

School of Automation,Harbin Engineering University

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