Title :
FTA and BN methodologies in the electrostatic safety analysis of vessel´s oil system
Author :
Lin, Zhuang ; Li, Jun ; Guo, Zhiqun
Author_Institution :
Coll. of Shipbuilding Eng., Harbin Eng. Univ., Harbin, China
Abstract :
In this paper, we utilize both Fault Tree Analysis (FTA) and Bayesian networks (BN) to analyze the safety of the vessel´s oil plants´ static electricity systematically. We use FTA to show the failure model of the system, namely the causal and generalization relations between events and BN to model the polymorphism and uncertainty of these events showed in the Fault Tree. By utilizing the BN methodology, the limitations and deficiencies of FTA can be made up of - the BN method can eliminate the restrictive assumptions in FTA. In the electrostatic safety analysis of vessel´s oil system, we combine FTA and BN in order to enhance the analytic accuracy and according to the analytic result, we propose some measures about Electrostatic Protection. The analytic technique we propose is certified that it can fit with the Actual Engineering better.
Keywords :
Bayes methods; electrostatics; fault trees; industrial accidents; petroleum industry; safety systems; ships; BN methodology; Bayesian networks; electrostatic protection; electrostatic safety analysis; failure model; fault tree analysis; vessel oil plant static electricity; Bayesian methods; Electricity; Electrostatics; Explosions; Fault trees; Grounding; Bayesian networks (BN); Electrostatic Protection; Fault Tree Analysis (FTA); electrostatic safety;
Conference_Titel :
Reliability, Maintainability and Safety (ICRMS), 2011 9th International Conference on
Conference_Location :
Guiyang
Print_ISBN :
978-1-61284-667-5
DOI :
10.1109/ICRMS.2011.5979321