• DocumentCode
    3435248
  • Title

    Notice of Retraction
    Research on quantitative risk assessment model and failure probability of oil/gas pipeline based on dempster-shafer evidence and intuitionistic fuzzy theory

  • Author

    Peng Zhang ; Ying Zhou ; Tao Liao

  • Author_Institution
    Sch. of Civil Eng. & Archit., Southwest Pet. Univ., Chengdu, China
  • fYear
    2013
  • fDate
    15-18 July 2013
  • Firstpage
    145
  • Lastpage
    150
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    Risk assessment is an important technology to ensure the safety of the long-distance oil/gas pipeline. The precision of failure probability calculation determines the rationality and applicability of risk assessment. In this paper, fuzzy fault tree analysis is described, which is applicable without relevant precise calculation model or historical data. Moreover, Intuitionistic fuzzy theory is introduced into the evidence combination rules with evidence conflict. Based on fault tree analysis (FTA), the calculation model of failure probability for oil/gas pipes is established. This method is helpful for achieving fusion of experts´ judgments.
  • Keywords
    failure analysis; fault trees; fuzzy set theory; pipelines; probability; risk management; Dempster-Shafer evidence; FTA; evidence combination rules; evidence conflict; failure probability calculation; fuzzy fault tree analysis; intuitionistic fuzzy theory; long-distance oil-gas pipeline; quantitative risk assessment model; Corrosion; Fault trees; Natural languages; Pipelines; Probability; Reliability; Risk management; evidence conflict; failure probability; fuzzy fault tree analysi; intuitionistic fuzzy theory; oil/gas pipeline;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE), 2013 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4799-1014-4
  • Type

    conf

  • DOI
    10.1109/QR2MSE.2013.6625554
  • Filename
    6625554