基于高阶神经元网络的晶闸管整流电路故障诊断

马立新; 王仁峰; 王尔玺; 真下启治

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上海电力大学学报:2005,21(1):51-54

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基于高阶神经元网络的晶闸管整流电路故障诊断

马立新¹, 王仁峰², 王尔玺³, 真下启治⁴

(1.上海电力学院人工智能与应用研究所, 上海, 200090;2.上海大学机电工程与自动化学院, 上海, 200072;3.上海市电力公司调度通信中心, 上海, 200025;4.日本国古河电工株式会社)

The Trouble Diagnosis of Thyristor Rectification Circuit Based on Higher Order Neural Network

MA Li-xin¹, WANG Ren-feng², WANG Er-xi³, keiji MASHIMO⁴

(1.Artificial Intelligence Institute, Shanghai University of Electric Power, Shanghai 200090, China;2.School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200072, China;3.Shanghai Municipal Electric Power Company Load Dispatch and Communication Center, Shanghai 200025, China;4.Furukawa Electric Limited Company, Japan)

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本文已被：浏览 734次下载 419次
投稿时间：2004-11-19

中文摘要: 介绍了人工神经元网络在晶闸管三相桥式整流电路故障诊断中的应用.较详细地介绍了高阶BP算法及其与普通BP算法的差异.电力系统故障诊断的计算机仿真表明,高阶BP算法可以明显提高系统精度,降低误差.

中文关键词: 晶闸管三相桥式整流电路高阶神经网络故障诊断

Abstract:An algorithm about ‘The Trouble Diagnosis of Thyristor Rectification Circuit Based on Higher Order Neural Network’ is introduced. This paper introduces a high-order BP algorithms in detail and the difference between high-order BP algorithms and ordinary BP algorithm. The Numerical simulations show that high-order BP can improve system precision,reduce error remarkably.

keywords: thyristor rectification circuit high-order neural network trouble diagnosis

文章编号：20050112 中图分类号： 文献标志码：

基金项目:上海市教委自然科学一般项目资助(04LB09).

作者	单位
马立新	上海电力学院人工智能与应用研究所, 上海, 200090
王仁峰	上海大学机电工程与自动化学院, 上海, 200072
王尔玺	上海市电力公司调度通信中心, 上海, 200025
真下启治	日本国古河电工株式会社

Author Name	Affiliation
MA Li-xin	Artificial Intelligence Institute, Shanghai University of Electric Power, Shanghai 200090, China
WANG Ren-feng	School of Mechatronics Engineering and Automation, Shanghai University, Shanghai 200072, China
WANG Er-xi	Shanghai Municipal Electric Power Company Load Dispatch and Communication Center, Shanghai 200025, China
keiji MASHIMO	Furukawa Electric Limited Company, Japan

引用文本：
马立新,王仁峰,王尔玺,等.基于高阶神经元网络的晶闸管整流电路故障诊断[J].上海电力大学学报,2005,21(1):51-54.
MA Li-xin,WANG Ren-feng,WANG Er-xi,et al.The Trouble Diagnosis of Thyristor Rectification Circuit Based on Higher Order Neural Network[J].Journal of Shanghai University of Electric Power,2005,21(1):51-54.