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.
出处
《中国电力》
CSCD
北大核心
2006年第5期27-31,共5页
Electric Power
关键词
电力系统
故障诊断
专家系统
信息化理论
power system
fault diagnosis
expert system
information theory
