[1]刘应梅,杨宛辉,章健,等.基于人工神经网络的变电站故障诊断[J].郑州大学学报(工学版),1999,20(04):86-88.[doi:10.3969/j.issn.1671-6833.1999.04.027]
　LIU Yingmei,Yang Wanhui,ZHANG Jian,et al.Substation fault diagnosis based on artificial neural network[J].Journal of Zhengzhou University (Engineering Science),1999,20(04):86-88.[doi:10.3969/j.issn.1671-6833.1999.04.027]
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基于人工神经网络的变电站故障诊断()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
20
期数:
1999年04期
页码:
86-88
栏目:
出版日期:
1999-01-01

文章信息/Info

Title:
Substation fault diagnosis based on artificial neural network
作者:
刘应梅; 杨宛辉; 章健; 等.
郑州工业大学电气信息工程学院,河南,郑州,450002, 郑州白鸽,集团,有限责任公司,河南,郑州,450006
Author(s):
LIU Yingmei; Yang Wanhui; ZHANG Jian; etc
关键词:
神经网络;  故障诊断;  变电站
Keywords:
neural networks;  Fault diagnosis;  Substations
DOI:
10.3969/j.issn.1671-6833.1999.04.027
文献标志码:
A
摘要:
个绍了一种利用人工神经网络(ANN)实现变电站故障诊断的方法,该方法充分利用人工神经网络所具有的强大的学习能力及高度的容错性等特点,实现对变电站故障元件的诊断.仿真结果表明,该方法不仅能准确地诊断出保护、开关正确动作时的故障元件,也可有效地诊断出因保护或开关拒动的越级故障时的故障元件.
Abstract:
This method uses artificial neural network (ANN) to realize substation fault diagnosis, which makes full use of the strong learning ability and high fault tolerance of artificial neural network to realize the diagnosis of substation fault components. The simulation results show that this method can not only accurately diagnose the faulty components when the protection and switch operate correctly, but also effectively diagnose the faulty components when the protection or switch rejects the leapfrog fault.

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更新日期/Last Update: 1900-01-01