摘要
简要介绍了相关的人工智能技术 ,如专家系统 ( expert system) ,人工神经网络 ( artificialneural network) ,模糊理论 ( fuzzy theory) ,遗传算法 ( genetic algorithms)及 Petri网络 ( Petri net)等的基本概念 ,并在此基础上对文献中提出的相应的输电网络故障诊断方法进行述评 ,分析它们在输电网络故障诊断中应用的特点以及存在的主要问题 。
The artificial intelligent technology provides an advanced tool for fault diagnosis in powel networks, and has madegreat progress in the past thirty years. This paper briefly introduces the basic concepts of the intelligent technologies for faultdiagnosis. including expert system, artificial neural network, fuzzy theory, genetic algorithms and Petri net. Based on theseconcepts. the corresponding methods for power network fault diagnosis in the literature are reviewed. Their features andmain problems are discussed for further research and development.
出处
《电力系统自动化》
EI
CSCD
北大核心
2000年第2期11-16,共6页
Automation of Electric Power Systems
关键词
输电网络
故障诊断
电力系统
人工智能
fault diagnosis
expert system: artificial neural network: fuzzy theory: genetic algorithms. Petri net
