NDLI: A self-organizing fuzzy inference system for electric field optimization of HV electrode systems

Content Provider	IEEE Xplore Digital Library
Author	Chatterjee, A. Rakshit, A. Mukherjee, R.K.
Copyright Year	1994
Abstract	Development of efficient methods for optimum design of electrode and insulator contour in a HV apparatus has been an important area of research in the recent past. A self-organizing fuzzy inference system is developed for electrode optimization which is an improved version over traditional iterative approach of optimization and more recent methods employing neural networks. This fuzzy system has been implemented for two practical examples of an axisymmetric single-phase gas-insulated system (GIS) bus termination and a disconnecter switch configuration. Improved electric stress distribution demonstrates the usefulness of the proposed method. A new methodology for automatic generation of the fuzzy rule base from the input-output data set is also proposed in this scheme. This fuzzy system is much simpler and less time consuming to implement compared to other optimization techniques presently available for optimization of HV electrodes.
Sponsorship	National Natural Science Foundation of China (NSFC) Region Centre Ville de Tours Conseil General D'Indre et Loire ABB IEEE Sandia National Laboratories TOSHIBA
Starting Page	995
Ending Page	1002
Page Count	8
File Size	766389
File Format	PDF
ISSN	10709878
Volume Number	8
Issue Number	6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-12-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy systems Electrodes Optimization methods Switches Design methodology Insulation Fuzzy neural networks Iterative methods Neural networks Geographic Information Systems
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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