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互感器故障诊断神经网络专家系统
引用本文:彭建春,康志伟,阎子勤. 互感器故障诊断神经网络专家系统[J]. 湖南科技大学学报(自然科学版), 1996, 0(4)
作者姓名:彭建春  康志伟  阎子勤
作者单位:湖南大学,湖南轻工专科学校
摘    要:基于神经网络专家系统的基本原理和利用神经网络的知识表达能够反映事物之模糊因果关系的特点,本文建立了一个用于高压电磁式互感器故障诊断的神经网络专家系统,提出了一种有效的推理方法,旨在全面、快速和准确地实现互感器的故障诊断,以提高互感器及电力系统运行的可靠性。图2,参8。

关 键 词:互感器,故障诊断,神经网络专家系统

A NEURAL NETWORK EXPERT SYSTEM FOR FAULT DIAGNOSIS OF INSTRUMENT TRANSFORMERS
Peng Jianchun,Kang Zhiwei. A NEURAL NETWORK EXPERT SYSTEM FOR FAULT DIAGNOSIS OF INSTRUMENT TRANSFORMERS[J]. Journal of Hunan University of Science & Technology(Natural Science Editon), 1996, 0(4)
Authors:Peng Jianchun  Kang Zhiwei
Abstract:Based on both the principle of neural network expert system,the characteristic expressed by a neural network is capable of mapping fuzzy relationship of cause and effect.In this paper a neural network expert system has been built to diagnose faults in instrument transformers.An efficient inference strategy is proposed to guarantee the accuracy in the diagnosis.The reliabilities of both the instrument transformer and the power system can benefit from the neural network expert system.2figs.,8refs.
Keywords:instrument transformer  fault diagnosis  neural network expert system
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