• DocumentCode
    3039163
  • Title

    Condition monitoring of storage batteries in telecom power systems-crisp vs. soft computing methodology

  • Author

    Suntio, T. ; Waltari, P. ; Gadoura, I.

  • Author_Institution
    Lab. of Electron., Oulu Univ., Finland
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    97
  • Lastpage
    102
  • Abstract
    The storage battery is the most important and decisive component in a telecom DC UPS system, determining its reliability and availability performance. The deployment of valve-regulated lead-acid (VRLA) batteries into telecom networks started an era of unbelievable problems and gradual deterioration of credibility. Battery condition monitoring has become a necessity, and not just a way to boost reliability. The behavior of a storage battery resembles, in many respects, that of human behavior, making it difficult or almost impossible to draw viable conclusions or to predict future behavior from the data obtainable. This paper makes a survey of available methods and problems to assess the state-of-health of VRLA batteries and proposes a suitable method based on soft computing principles
  • Keywords
    computerised monitoring; condition monitoring; fuzzy logic; lead acid batteries; power system analysis computing; telecommunication computing; telecommunication network reliability; telecommunication power supplies; uninterruptible power supplies; DC UPS system; availability; battery condition monitoring; crisp computing methodology; performance; reliability; soft computing methodology; storage batteries; survey; telecom networks; telecommunication power systems; valve-regulated lead-acid batteries; Availability; Batteries; Condition monitoring; Conducting materials; Laboratories; Power system reliability; Power systems; Telecommunication computing; Telecommunication network reliability; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing Methods in Industrial Applications, 1999. SMCia/99. Proceedings of the 1999 IEEE Midnight-Sun Workshop on
  • Conference_Location
    Kuusamo
  • Print_ISBN
    0-7803-5280-7
  • Type

    conf

  • DOI
    10.1109/SMCIA.1999.782715
  • Filename
    782715