Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《AUTOMATION OF ELECTRIC POWER SYSTEMS》 2000-02
Add to Favorite Get Latest Update

AN EVALUATION OF ARTIFICIAL INTELLIGENT TECHNOLOGIESFOR FAULT DIAGNOSIS IN POWER NETWORK

Bi Tltinshul, Ni Yixinl, Yang Qixun'(l. The University of Hong Kong, Hong Kong, China)(2. North China Electric Power University, Beijing 100085. China)  
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.
【CateGory Index】: TM76
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved