DocumentCode
3049840
Title
An adaptive neuro-fuzzy intelligent tool and expert system for power quality analysis. I. An introduction
Author
Ibrahim, W. R Anis ; Morcos, M.M. ; Kreiss, D.G.
Author_Institution
Kansas State Univ., Manhattan, KS, USA
Volume
1
fYear
1999
fDate
18-22 Jul 1999
Firstpage
493
Abstract
This paper explores the applicability of using artificial intelligence tools in the field of power quality. The definition of power quality and its importance in the current power market are included. The necessity for using intelligent tools in power quality analysis is established, and individual intelligent paradigms are discussed. The paper focuses on introducing the concepts of adaptive fuzzy techniques, and an application involving an adaptive neuro-fuzzy and expert system tool currently under development. An overview of documented intelligent systems as being applied to power quality analysis is referred to. The design of prototype adaptive fuzzy systems, and the preliminary results of applying such systems to sample power quality problems, are included in part II of the paper
Keywords
diagnostic expert systems; fuzzy neural nets; power supply quality; power system analysis computing; adaptive neuro-fuzzy intelligent tool; artificial intelligence tools; expert system; intelligent paradigms; power market; power quality analysis; Adaptive systems; Artificial intelligence; Expert systems; Fuzzy logic; Fuzzy systems; Hybrid intelligent systems; Intelligent networks; Intelligent systems; Power markets; Power quality;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Engineering Society Summer Meeting, 1999. IEEE
Conference_Location
Edmonton, Alta.
Print_ISBN
0-7803-5569-5
Type
conf
DOI
10.1109/PESS.1999.784400
Filename
784400
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