A real time neuro-fuzzy production system for ITAIPU Binacional

Author

Arnauts, T. ; Aparecida, Roseli ; Romero, Francelin

Author_Institution

Dept. de Ciencias da Computacao e Estatistica, Sao Paulo Univ., Brazil

Volume

2

fYear

2001

fDate

25-28 July 2001

Firstpage

1015

Abstract

The paper presents the development of an expert system modeled by using connectionist and fuzzy paradigms for fault detection in the Itaipu Hydroelectric company. For this purpose, a rule based knowledge system already in use by Itaipu operation has been taken as reference. The main aim was the development of the NEUFI Production System (NEUro-Fuzzy for Itaipu), whose knowledge base contains rules modeled by the neuro-fuzzy architecture. To make the implementation of the NEUFI Production System easier, a simulator, entitled Neuro-Fuzzy Simulator, was also developed, which allows training and writing of neuro-fuzzy networks

Keywords

digital simulation; expert systems; fuzzy neural nets; fuzzy set theory; hydroelectric power stations; power engineering computing; real-time systems; Itaipu Hydroelectric company; Itaipu operation; NEUFI Production System; NEUro-Fuzzy for Itaipu; Neuro-Fuzzy Simulator; connectionist paradigms; expert system; fault detection; fuzzy paradigms; neuro-fuzzy architecture; real time neuro-fuzzy production system; Control systems; Electrical fault detection; Expert systems; Fuzzy logic; Fuzzy neural networks; Neural networks; Power system modeling; Power system simulation; Production systems; Real time systems;

fLanguage

English

Publisher

ieee

Conference_Titel

IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-7078-3

Type

conf

DOI

10.1109/NAFIPS.2001.944744

Filename

944744