• DocumentCode
    3000976
  • Title

    Specialist tool for monitoring the measurement degradation process of induction active energy meters

  • Author

    Silva, M.R. ; Galotto, L., Jr. ; Pinto, J.O.P. ; Canesin, C.A. ; Cardoso, E.H., Jr. ; Amorim, S. ; Mertens, E.A., Jr.

  • Author_Institution
    Sao Paulo State Univ. - UNESP, Sao Paulo, Brazil
  • fYear
    2011
  • fDate
    17-19 Oct. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a methodology and a specialist tool for failure probability analysis of induction type watt-hour meters, considering the main variables related to their measurement degradation processes. The database of the metering park of a distribution company, named Elektro Electricity and Services Co., was used for determining the most relevant variables and to feed the data in the software. The modeling developed to calculate the watt-hour meters probability of failure was implemented in a tool through a user friendly platform, written in Delphi language. Among the main features of this tool are: analysis of probability of failure by risk range; geographical localization of the meters in the metering park, and automatic sampling of induction type watt-hour meters, based on a risk classification expert system, in order to obtain information to aid the management of these meters. The main goals of the specialist tool are following and managing the measurement degradation, maintenance and replacement processes for induction watt-hour meters.
  • Keywords
    computerised monitoring; electricity supply industry; expert systems; failure analysis; human computer interaction; power engineering computing; power meters; probability; risk analysis; sampling methods; watthour meters; Delphi language; automatic sampling; distribution company; failure probability analysis; geographical localization; induction active energy meters; induction type watt-hour meters; measurement degradation process monitoring; metering park database; risk analysis; risk classification expert system; user friendly platform; Companies; Data mining; Data models; Databases; Decision trees; Expert systems; Watthour meters; Artificial intelligence; Expert system for sampling; Hazard rate; Induction type Watt-hour meters; Risk Model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Power Quality and Utilisation (EPQU), 2011 11th International Conference on
  • Conference_Location
    Lisbon
  • ISSN
    2150-6647
  • Print_ISBN
    978-1-4673-0379-8
  • Type

    conf

  • DOI
    10.1109/EPQU.2011.6128831
  • Filename
    6128831