Research and Application of Evidence Synthesis FTA Model Based on Similarity Analysis

Article Preview

Abstract:

In order to integrate multiple experts' opinions effectively, a fault tree analysis model based on the similarity is presented in this paper. First, the concept of similarity used to fuse data is introduced to analyze the similarity among multiple experts' opinions, and to assign each expert's opinions credibility weights based on the analysis results. Then, experts' opinions is synthesized by evidence theory, the probability of accident is predicted, and the importance degrees of basic events which may lead to top event occur is judged. Finally, a quantitative FTA model for the gas poison is established to compute the probability of top event and identify the most dangerous path which may lead to the accident, the results of analysis provide references to the managers when they develop validity measures.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 926-930)

Pages:

2001-2005

Citation:

Online since:

May 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Z. XIE: Safety System Engineering (Metallurgical Industry Press, Beijing 2010).

Google Scholar

[2] Y.S. WANGCHEN: Journal of Safety Science and Technology, Vol. 9 (2013) No. 2, pp.116-120.

Google Scholar

[3] Giuseppe Curcurù, Giacomo Maria Galante and Concetta Manuela La Fata. Journal of Loss Prevention in the Process Industries, Vol. 25 (2012), pp.667-676.

DOI: 10.1016/j.jlp.2012.02.003

Google Scholar

[4] B.Q. WANG: Journal of Safety and Environment, Vol. 13 (2013) No. 2, pp.236-239.

Google Scholar

[5] S.W. LIU,D.C. CHEN and Y.Y. HE: Industrial Safety and Environmental Protection, Vol. 39(2013) No. 1, pp.53-56.

Google Scholar

[6] Moon Jaeduk, Lee Geuntaek and Chung Sukhwan: IEEE Transactions on Industry Applications, Vol. 3 (1999), pp.1198-1204.

Google Scholar