• 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