IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v92y2007i7p895-901.html
   My bibliography  Save this article

Test interval optimization of safety systems of nuclear power plant using fuzzy-genetic approach

Author

Listed:
  • Durga Rao, K.
  • Gopika, V.
  • Kushwaha, H.S.
  • Verma, A.K.
  • Srividya, A.

Abstract

Probabilistic safety assessment (PSA) is the most effective and efficient tool for safety and risk management in nuclear power plants (NPP). PSA studies not only evaluate risk/safety of systems but also their results are very useful in safe, economical and effective design and operation of NPPs. The latter application is popularly known as “Risk-Informed Decision Making†. Evaluation of technical specifications is one such important application of Risk-Informed decision making. Deciding test interval (TI), one of the important technical specifications, with the given resources and risk effectiveness is an optimization problem. Uncertainty is inherently present in the availability parameters such as failure rate and repair time due to the limitation in assessing these parameters precisely. This paper presents a solution to test interval optimization problem with uncertain parameters in the model with fuzzy-genetic approach along with a case of application from a safety system of Indian pressurized heavy water reactor (PHWR).

Suggested Citation

  • Durga Rao, K. & Gopika, V. & Kushwaha, H.S. & Verma, A.K. & Srividya, A., 2007. "Test interval optimization of safety systems of nuclear power plant using fuzzy-genetic approach," Reliability Engineering and System Safety, Elsevier, vol. 92(7), pages 895-901.
  • Handle: RePEc:eee:reensy:v:92:y:2007:i:7:p:895-901
    DOI: 10.1016/j.ress.2006.05.009
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832006001219
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ress.2006.05.009?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. KanÄ ev, DuÅ¡ko & Gjorgiev, Blaže & Volkanovski, Andrija & ÄŒepin, Marko, 2016. "Time-dependent unavailability of equipment in an ageing NPP: Sensitivity study of a developed model," Reliability Engineering and System Safety, Elsevier, vol. 148(C), pages 11-20.
    2. KanÄ ev, DuÅ¡ko & ÄŒepin, Marko & Gjorgiev, Blaže, 2014. "Development and application of a living probabilistic safety assessment tool: Multi-objective multi-dimensional optimization of surveillance requirements in NPPs considering their ageing," Reliability Engineering and System Safety, Elsevier, vol. 131(C), pages 135-147.

    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:eee:reensy:v:92:y:2007:i:7:p:895-901. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    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.