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
Link To Document :
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