摘要
本文概述了目前电力系统故障诊断的研究现状,分别对专家系统法、模糊理论法、人工神经网络法、遗传算法、petri网的方法、粗糙集理论、多代理系统、贝叶斯网络法等逐一进行了分析介绍,并对其在电力系统故障诊断实际应用中存在的一些问题进行了阐述。最后指出了电力系统故障诊断所需要解决的问题和今后发展的趋势,以促进该研究领域的进一步发展。
This article provides an overview of current research on power system fault diagnosis, describe and analysis a number of methods, such as expert systems, fuzzy theory, artificial neural networks, genetic algorithms, Petri-net approach, rough set theory,multi-agent systems, Bias network method, etc. we also describes some of the problems in power system fault diagnosis＇ applications. The last chapter not only points out the power system fault diagnosis＇ problems which need to be solved but also indicates the trend of future development to promote future development in this field.
出处
《自动化与仪器仪表》
2015年第2期4-6,9,共4页
Automation & Instrumentation
关键词
电力系统
故障诊断
专家系统
人工神经网络
遗传算法
贝叶斯法
Power system
Fault diagnosis
Expert system
Artificial neural network
Genetic algorithm
Bias method
