电力系统故障诊断方法综述与展望

Review and Prospects of Fault Diagnosis in Power System

综述了近年来研究的比较多的电力系统故障诊断方法,包括了专家系统、人工神经网络、Petri网络、优化方法、贝叶斯网络、模糊集理论、粗糙集理论等。概述了它们的原理特点和实用性,并分析了它们的不足之处。最后从电力系统故障诊断现状和主要问题出发,以解决工程实际为目标,指出了该领域所需解决的问题和主要发展方向,以促进该领域的进一步发展。

The proposed methods for fault diagnosis of power systems in recent years,including expert systems,artificial neural network,Petri net,optimization method,Bayesian network,fuzzy set theory,rough set theory,are surveyed.Then,make a brief overview of the principle and characteristics of these methods and analyze their flaws.Finally,the main problems need to be solved,the main direction of development based on the main problems.