电网故障诊断方法综述  

A survey of power system fault diagnoses

作　　者：陈玉林[1] 陈允平[1] 孙金莉[1] 邱君玛[1] 

机构地区：[1]武汉大学电气工程学院,湖北武汉430072

出　　处：《中国电力》2006年第5期27-31,共5页Electric Power

摘　　要：介绍电网故障诊断问题的复杂性所在,并总结归纳近10多年来国内外学者在故障诊断领域提出的主要方法,包括专家系统方法、模糊集方法、数据挖掘和粗糙集方法、人工神经网络、Petri网、贝叶斯网、优化算法及信息理论方法等。说明各种方法的基本概念和方法思路,分析各种方法的特点和不足,探讨新形势下电网故障诊断技术的发展趋势。The complexity of power system fault diagnoses was briefly introduced. The main methods for power system diagnoses were summarized, including expert system, fuzzy set theory, data mining and rough set theory, artificial neural network, Petri network, Bayesian network, optimization method, information theory, etc, which were brought forward by researchers in the near past twenty years. The basic conception and thought way of each method were resumptively introduced, and their characteristic and shortcoming were analyzed. At the end of this paper, the development trend of power system fault diagnoses in the new era was discussed.

关 键 词：电力系统 故障诊断 专家系统 信息化理论 

分 类 号：TM711[电气工程—电力系统及自动化]