An evaluation of artificial intelligent technologiesfor fault diagnosis in power network

Abstract

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.

簡要介紹了相關的人工智能技術 ,如專家系統 ( expert system) ,人工神經網絡 ( artificialneural network) ,模糊理論 ( fuzzy theory) ,遺傳算法 ( genetic algorithms)及 Petri網絡 ( Petri net)等的基本概念 ,并在此基礎上對文獻中提出的相應的輸電網絡故障診斷方法進行述評 ,分析它們在輸電網絡故障診斷中應用的特點以及存在的主要問題 ,以促進該研究領域的進一步發展