• DocumentCode
    1825386
  • Title

    Operator situation awareness assessment model in a nuclear power plant

  • Author

    Dai Licao ; Li, Zhang ; Zhang Li

  • Author_Institution
    Sch. of Info-Phys. & Geomatics Eng., Central South Univ., Changsha, China
  • fYear
    2010
  • fDate
    7-10 Dec. 2010
  • Firstpage
    2440
  • Lastpage
    2444
  • Abstract
    Situation awareness of operators plays a key role in the safety of a nuclear power plant. The establishment of a situation awareness assessment model (SAAM) is the foundation of an advanced HRA method. The paper firstly ascertains the relation between situation awareness and human reliability analysis and then forms an organization-committed cause-effect conception model. On the basis of the above, Bayesian network is used to build SAAM to conduct cause-effect reasoning and diagnosis. The technique makes an assessment on the external influences of the situation awareness of operators in case of given proofs and identifies quantitatively the leading factors affecting operator situation awareness.
  • Keywords
    Bayes methods; cause-effect analysis; fission reactor operation; fission reactor safety; nuclear power stations; Bayesian network; HRA method; cause-effect reasoning; human reliability analysis; nuclear power plant; operator situation awareness; organization-committed cause-effect conception model; situation awareness assessment model; Bayesian methods; Humans; Power generation; Reliability; Safety; Training; User interfaces; Bayesian network; cause-effect conception model; nuclear power plant operators; situation awareness assessment model (SAAM);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on
  • Conference_Location
    Macao
  • ISSN
    2157-3611
  • Print_ISBN
    978-1-4244-8501-7
  • Electronic_ISBN
    2157-3611
  • Type

    conf

  • DOI
    10.1109/IEEM.2010.5674372
  • Filename
    5674372