Please use this identifier to cite or link to this item:
Title: Quantitative risk assessment through hybrid causal logic approach
Authors: Wang, Y.-F.
Xie, M. 
Habibullah, M.S.
Ng, K.-M. 
Keywords: Bayesian network
Fuzzy fault tree
Hybrid causal logic
Issue Date: Sep-2011
Citation: Wang, Y.-F., Xie, M., Habibullah, M.S., Ng, K.-M. (2011-09). Quantitative risk assessment through hybrid causal logic approach. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 225 (3) : 323-332. ScholarBank@NUS Repository.
Abstract: In this paper, a hybrid causal logic (HCL) model is improved by mapping a fuzzy fault tree (FFT) into a Bayesian network (BN). The first step is to substitute an FFT for the traditional FT. The FFT is based on the Takagi-Sugeno model and the translation rules needed to convert the FFT into a BN are derived. The proposed model is demonstrated in a study of a fire hazard on an offshore oil production facility. It is clearly shown that the FFT can be directly converted into a BN and that the parameters of the FFT can be estimated more accurately using the basic inference techniques of a BN. The improved HCL approach is able to both accurately determine how failures cause an undesired problem using FFT and also model non-deterministic cause-effect relationships among system elements using the BN. © Author 2011.
Source Title: Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability
ISSN: 1748006X
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Feb 27, 2018


checked on Jul 17, 2019

Page view(s)

checked on Nov 30, 2019

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.