IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v7y2016i3d10.1007_s13198-016-0501-8.html
   My bibliography  Save this article

Reliability prediction of seismic switch for early detection of earthquakes around NPPs

Author

Listed:
  • S. V. Sreekanth Reddy

    (Madanapalle Institute of Technology and Science)

  • K. Rajangam

    (Madanapalle Institute of Technology and Science)

  • T. V. Santhosh

    (Bhabha Atomic Research Centre)

  • Gopika Vinod

    (Bhabha Atomic Research Centre)

  • Shiju Varghese

    (Bhabha Atomic Research Centre)

  • Jay Shah

    (Bhabha Atomic Research Centre)

Abstract

The recent Fukushima accident has posed several challenges to nuclear community with respect to safety of the nuclear power plants (NPPs) during simultaneous occurrence of seismic, Tsunami, multiple failures of safety systems and also maintaining the long term sub criticality during these events. Safety Instrumented Systems (SISs) are used in many application areas to reduce the likelihood of such severe accidents and/or to mitigate the consequences. An indigenously developed seismic switch is employed to safely shut down the reactor upon the occurrence of a seismic event. The reliability of seismic switch is of vital importance to ensure safe operation of a NPP. This paper presents the results of reliability study performed on digital and analog seismic switches to assess their performance.

Suggested Citation

  • S. V. Sreekanth Reddy & K. Rajangam & T. V. Santhosh & Gopika Vinod & Shiju Varghese & Jay Shah, 2016. "Reliability prediction of seismic switch for early detection of earthquakes around NPPs," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 7(3), pages 325-331, September.
    • Handle: RePEc:spr:ijsaem:v:7:y:2016:i:3:d:10.1007_s13198-016-0501-8
    DOI: 10.1007/s13198-016-0501-8
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-016-0501-8
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13198-016-0501-8?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijsaem:v:7:y:2016:i:3:d:10.1007_s13198-016-0501-8. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.