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Chemical and petrochemical accidents, such as fires and explosions, do not happen frequently but have considerable consequences. These accidents compromise not only human safety but also cause significant economic losses and environmental contamination. The increasing complexity of chemical infrastructures increases the requirements of risk prevention. Thus, risk analysis for petrochemical systems...
The accidents occurred in chemical plants often regard as low frequency and high consequence. It is necessary to raise the risk analysis for the petrochemical system to help people to find the weakest process in the whole system thus people can strength the process to improve the safety. In this paper, a methodology by using Bayesian Networks (BNs) to give a model for a chemical plant has been raised...
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