• DocumentCode
    2083408
  • Title

    The application of CREAM based on HAZOP analysis in using process of system

  • Author

    Wang, Wei ; Zhao, Tingdi

  • Author_Institution
    Dept. of Syst. Eng., Beihang Univ., Beijing, China
  • fYear
    2010
  • fDate
    25-28 Jan. 2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The foundation of the retrospective and predictive analysis in Cognitive Reliability and Error Analysis Method (CREAM) is the search of the event sequence caused by human errors. However, there are no standards for CREAM, especially for the analysis of weapon system operation process. This paper presented an improved CREAM based on HAZOP analysis by which the operation steps can be partitioned explicitly, and the causes and the consequences can be evaluated through the deviations analysis. Based on HAZOP analysis, the event-order diagram that described the accident process caused by human error can be acquired. After analyzing the selected event sequence, the root causes of human errors and the probability interval of event sequence can be obtained. An example of diesel engine startup is discussed, which demonstrated the validity of the method for weapon system safety analysis.
  • Keywords
    error analysis; human factors; probability; CREAM application; HAZOP analysis; cognitive reliability and error analysis method; event order diagram; event sequence probability interval; hazard and operability; predictive analysis; process of system; retrospective analysis; weapon system operation process; Accidents; Error analysis; Failure analysis; Hazards; Humans; Performance analysis; Reliability engineering; Safety; Systems engineering and theory; Weapons; Cognitive Reliability and Error Analysis Method; Common Performance Conditions; Hazard and Operability; human errors; predictive analysis; retrospective analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability and Maintainability Symposium (RAMS), 2010 Proceedings - Annual
  • Conference_Location
    San Jose, CA
  • ISSN
    0149-144X
  • Print_ISBN
    978-1-4244-5102-9
  • Electronic_ISBN
    0149-144X
  • Type

    conf

  • DOI
    10.1109/RAMS.2010.5447991
  • Filename
    5447991