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基于神经网络的舰艇装备模拟电路故障诊断方法

苏冠敏 潘艳东

舰船电子工程2012,Vol.32Issue(4):110-112,3.
舰船电子工程2012,Vol.32Issue(4):110-112,3.

基于神经网络的舰艇装备模拟电路故障诊断方法

Method of Fault Diagnosis for Warship Equipment Analog Circuits Based on Neural Network

苏冠敏 1潘艳东1

作者信息

  • 1. 91555部队,大连116041
  • 折叠

摘要

Abstract

Considering the technical status of fault diagnosis for warship equipment analog circuits, this paper presents the method of fault diagnosis with the neural network, using the PSPICE software,the circuits signal was selected that can reflect the characteristics of circuit components as fault features, before training the network, it uses principal component analysis to reduce the dimension of network importation. Experiments show this method not only predigests the network structure but also improves the identification capabilities of fault types.

关键词

模拟电路/故障诊断/神经网络/主元分析

Key words

analog circuits/fault diagnosis/neural network/principal component analysis

分类

信息技术与安全科学

引用本文复制引用

苏冠敏,潘艳东..基于神经网络的舰艇装备模拟电路故障诊断方法[J].舰船电子工程,2012,32(4):110-112,3.

舰船电子工程

1627-9730

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