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Application of importance measures to transport industry: Computation using Bayesian networks and Fault Tree Analysis

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5 Author(s)
Mahboob, Q. ; Dept. of TU Dresden, Railway Signaling & Transp. Safety Technol, Dresden, Germany ; Schone, E. ; Kunze, M. ; Trinckauf, J.
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Importance measures are useful in the identification of components, which are most effective towards safety improvement. This paper will summarize a number of Component Importance Measures (CIM), computation of the CIM using Fault Tree Analysis (FTA) and Bayesian Networks (BNs) will be investigated for the transport industry. The BNs are directed acyclic probabilistic graphical models, used for joint distribution of random variables in a concise and efficient way. The BNs have several advantages over classical ways like FTA.

Published in:

Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on

Date of Conference:

15-18 June 2012