• DocumentCode
    477586
  • Title

    Reliability Analysis of a Seepage Monitoring System Based on Distributed Optical Fiber Sensing

  • Author

    Zhu Pingyu ; Leng Yuanbao ; Dhillon, B.S. ; Bin Guangfu

  • Author_Institution
    Hunan provincial Key Lab. of Health Maintenance for Mech. Equip., Hunan Univ. of Sci. & Technol., Xiangtan
  • Volume
    1
  • fYear
    2008
  • fDate
    20-22 Oct. 2008
  • Firstpage
    1116
  • Lastpage
    1120
  • Abstract
    The measuring of seepage and movement is a fundamental element of dam surveillance. Some attempts have been made to provide alternative for seepage monitoring using fully distributed sensing along with optical fibers. The monitoring system offers important information for estimating the safety state of embankment dam. Both management system and upper management of the embankment dam depend on the information. However, this relatively newer monitoring system consists of hardware, software and configuration parts, which may be weak or non-effective within a data processing unit. Hence, reliability analysis of this seepage monitoring is necessary prior to building a standard criterion to decide if a serious seepage happens in the embankment dam. In this paper, the reliability of simulation unit, seepage control unit and sensing unit are analyzed, which is useful to ensure that the monitoring system works effectively.
  • Keywords
    computerised monitoring; dams; distributed sensors; fibre optic sensors; mechanical engineering computing; reliability; configuration parts; dam surveillance; distributed optical fiber sensing; embankment dam; hardware; reliability analysis; seepage control unit; seepage monitoring system; simulation unit; software; Analytical models; Computational modeling; Computerized monitoring; Condition monitoring; Failure analysis; Levee; Optical fiber sensors; Optical fibers; Safety; Temperature sensors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
  • Conference_Location
    Hunan
  • Print_ISBN
    978-0-7695-3357-5
  • Type

    conf

  • DOI
    10.1109/ICICTA.2008.400
  • Filename
    4659665