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In relation to this article, we declare that there is no conflict of interest.
Publication history
Received January 28, 2009
Accepted April 5, 2009
articles This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Development of a new automatic system for fault tree analysis for chemical process industries

1Department of Chemical Engineering, Yonsei University, 134 Shinchon-dong, Seodaemun-gu, Seoul 120-749, Korea 2Department of Chemical & Engineering, University of Wisconsin-Madison, 1415 Engineering Drive, Madison, WI 53705, USA 3School of Chemical & Biomolecular Engineering, Georgia Institute of Technology, 311 Ferst Drive, N.W. Atlanta, GA 30332-0100, USA
Korean Journal of Chemical Engineering, November 2009, 26(6), 1429-1440(12), 10.1007/s11814-009-0253-0
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Abstract

The main purpose of this study was to develop a computer automated tool for fault tree analysis (FTA) in order to minimize the flaws of manual FTA. The automated FTA system developed in this study consists of two steps: 1) automatic fault tree conversion from a digraph, and 2) calculation of the probability of the occurrence of the top event and finding a minimal cut set of the top event. For the first step, we propose a new algorithm for automatic conversion of a digraph to a fault tree. The new digraph-FT conversion algorithm has eight FT generation rules to transform_x000D_ node information that is based on the node characteristics. Failures and faults are classified into three types to easily synthesize fault trees and analyze fault trees precisely. The automatic FTA system was then applied the analysis of real chemical processes to illustrate the effectiveness of the system.

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