Author/Authors :
Raza, S.A. Mechanical Department - University of Engineering and Technology (UET), Lahore, Pakistan , Mahboob, Q. Mechanical Department - University of Engineering and Technology (UET), Lahore, Pakistan , Khan, A.A. Mechanical Department - University of Engineering and Technology (UET), Lahore, Pakistan , Khan, T.A. Mechanical Department - University of Engineering and Technology (UET), Lahore, Pakistan , Hussain, J. Mechanical Department - University of Engineering and Technology (UET), Lahore, Pakistan
Abstract :
Modern engineering systems have proven to be quite complex due to the involvement of uncertainties and a number of
dependencies among the system components. Shortcoming in the inclusion of such complex features results in the wrong assessment
of reliability and safety of the system, ultimately to the incorrect engineering decisions. In this paper, the usefulness of Bayesian
Networks (BNs) for achieving improved modeling and reliability and risk analysis is investigated. The calculation of a number of
Importance Measures with use of Fault Tree Analysis as well as BNs is provided for a complicated railway operation problem. The
BNs based safety risk model is investigated in terms of quantitative reliability and safety analysis as well as for multi dependencies
and uncertainty modeling.
