电网故障诊断的研究现状与发展趋势

摘要

综述了专家系统、解析模型、人工神经网络、Petri 网络、贝叶斯网络、模糊集理论和粗糙集理论等方法在电网故障诊断领域中的应用，分析了这些方法的特点和需要改进之处，并以解决实际工程问题为目标，指出了该领域所需解决的关键技术问题和主要发展趋势，以促进该研究领域的进一步发展。%This article proposed methods for fault diagnosis of power systems,including expert system,analytic mod-el,artificial neural network,Petri network,Bayesian network,fuzzy set theory and rough set theory.The characteristics and drawbacks of those methods are analyzed,several key technical issues and the main development trends of the topic are pointed out to solve the practical problems and motivate further developments.