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

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publicationSMCia 1999 - Proceedings of the 1999 IEEE Midnight-Sun Workshop on Soft Computing Methods in Industrial Applications
EditorsJarno Martikainen
PublisherIEEE
Pages97-102
Number of pages6
ISBN (Electronic)0780352807, 9780780352803
DOIs
Publication statusPublished - 1 Jan 1999
Externally publishedYes
Publication typeNot Eligible
Event1999 IEEE Midnight-Sun Workshop on Soft Computing Methods in Industrial Applications, SMCia 1999 - Kuusamo, Finland
Duration: 16 Jun 199918 Jun 1999

Publication series

NameSMCia 1999 - Proceedings of the 1999 IEEE Midnight-Sun Workshop on Soft Computing Methods in Industrial Applications

Conference

Conference1999 IEEE Midnight-Sun Workshop on Soft Computing Methods in Industrial Applications, SMCia 1999
CountryFinland
CityKuusamo
Period16/06/9918/06/99

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.