All Outputs (2)

Bayesian network-based probability analysis of train derailments caused by various extreme weather patterns on railway turnouts (2017)
Journal Article
Dindar, S., Kaewunruen, S., An, M., & Sussman, J. (2018). Bayesian network-based probability analysis of train derailments caused by various extreme weather patterns on railway turnouts. Safety Science, 110(Part B), 20-30. https://doi.org/10.1016/j.ssci.2017.12.028

Since multiple failure events associated with derailments could not be identified and derailment probability could not be reached quantitatively by event tree and fault tree analysis for safety assessment in railway systems, applications of Bayesian... Read More about Bayesian network-based probability analysis of train derailments caused by various extreme weather patterns on railway turnouts.

Derailment-based fault tree analysis on risk management of railway turnout systems (2017)
Journal Article
of railway turnout systems. IOP Conference Series: Materials Science and Engineering, 245(II), 042020. https://doi.org/10.1088/1757-899X/245/4/042020

Railway turnouts are fundamental mechanical infrastructures, which allow a rolling stock to divert one direction to another. As those are of a large number of engineering subsystems, e.g. track, signalling, earthworks, these particular sub-systems ar... Read More about Derailment-based fault tree analysis on risk management of railway turnout systems.