Zerrouki Hamza
University of Batna, Algeria
Title: Safety analysis of an industrial process by mapping fault tree to Bayesian network
Biography
Biography: Zerrouki Hamza
Abstract
Fault tree method has become popular technique that is used widely in safety analysis of process systems. This method aimed to identifying and assessing hazards of complex systems. Fault tree is quantitative analysis that follows the assumptions of logical gates. However, fault tree analysis is not flexible enough to incorporate new knowledge or evidence. Fault tree is difficult to handle with updating probability of basic events, it is also hard to represent the dependency between primary events and multi-states variables. This paper focused on using Bayesian networks to handle with the limitations of fault tree and the uncertainty of the accident and used the ability of Bayesian networks to represent the dependence failure and multi-states variables. A case study of hydrotreater is used to illustrate the application and compare the results of both fault tree and Bayesian networks techniques.