• DocumentCode
    3501684
  • Title

    Probabilistic safety assessment and management of control laws based on strict Markov analysis

  • Author

    Suyama, Koichi ; Kosugi, Nobuko

  • Author_Institution
    Tokyo Univ. of Marine Sci. & Technol., Tokyo, Japan
  • fYear
    2009
  • fDate
    3-5 Nov. 2009
  • Firstpage
    1706
  • Lastpage
    1711
  • Abstract
    This paper presents a probabilistic safety assessment and management framework based on strict Markov analysis according to the international safety standard, IEC 61508. The framework enables us to take possible common-cause failures into consideration, whose measures are important from a practical viewpoint of system safety. Also the framework establishes the existence of a trade-off between safety and guaranteed control performance quantitatively for the first time ever.
  • Keywords
    IEC standards; Markov processes; electrical safety; probability; IEC 61508; control law management; international safety standard; probabilistic safety assessment; strict Markov analysis; Actuators; Control systems; Exponential distribution; Frequency; IEC standards; Logic devices; Reliability theory; Risk management; Safety devices; Sensor systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics, 2009. IECON '09. 35th Annual Conference of IEEE
  • Conference_Location
    Porto
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-4648-3
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2009.5414821
  • Filename
    5414821