• DocumentCode
    2699586
  • Title

    Design and development of the reliability prediction software for smart meters

  • Author

    Zhou, Lixia ; Liao, Xun ; Li, Shunxin ; Yuan, Jincan

  • Author_Institution
    North China Grid Co. Ltd. Center of Metrol., Beijing Univ. of Aeronaut. & Astronaut., Beijing, China
  • fYear
    2012
  • fDate
    15-18 June 2012
  • Firstpage
    612
  • Lastpage
    616
  • Abstract
    By analyzing the characteristics and specifying the reliability prediction process of smart meters, the reliability prediction software for smart meters is designed and developed in this paper. Three methods to predict the reliability of smart meters based on Telcordia SR-332, SN29500 and the combination of Telcordia SR-332 and SN29500 are provided in this software which can quickly calculate the reliability indicators including failure rate and MTTF on the component level, unit level and system level. The software consists of the data interface module, database management module, reliability prediction module, results output module and help module. The application of this software will help in shortening the development cycle and reducing the research and development cost of smart meters and will become a useful tool in achieving the reliability growth of smart meters.
  • Keywords
    automatic meter reading; computerised instrumentation; cost reduction; electronic data interchange; failure analysis; power meters; reliability; research and development; software engineering; MTTF; Telcordia SN29500; Telcordia SR-332; component level failure; data interface module; database management module; development cycle; failure rate; help module; reliability indicators; reliability prediction module; reliability prediction software design; reliability prediction software development; research and development cost reduction; results output module; smart meters; system level failure; unit level failure; Databases; Predictive models; Reliability engineering; Software; Software reliability; Stress; VC++; database; reliability prediction; smart meter; stress analysis method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4673-0786-4
  • Type

    conf

  • DOI
    10.1109/ICQR2MSE.2012.6246308
  • Filename
    6246308