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Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Model Study and Fault Detection for the Railway System
Digital Object Identifier (DOI) : 10.14569/IJACSA.2017.081157
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 11, 2017.
Abstract: The wheel-rail-sleepers system is simulated as a series of moving point loads on an Euler–Bernoulli beam resting on a visco-elastic half space. This paper concentrates on the rail-sleepers interaction system (railway system) and the fault detection. The main objective is to mathematically develop and implement a dynamic model of a railway system then the diagnosis of system defects using a Luenberger observer (LO). The simulation results are based on a physical description, mathematical equations and simulations with MATLAB simulation program.
Keywords: Dynamic model; the wheel-rail–sleepers system; interaction system; Euler–Bernoulli; Luenberger observer (LO); fault detection
ARFA Rawia, TLIJANI Hatem and KNANI Jilani, “Model Study and Fault Detection for the Railway System” International Journal of Advanced Computer Science and Applications(IJACSA), 8(11), 2017. http://dx.doi.org/10.14569/IJACSA.2017.081157
@article{Rawia2017,
title = {Model Study and Fault Detection for the Railway System},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.081157},
url = {http://dx.doi.org/10.14569/IJACSA.2017.081157},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {11},
author = {ARFA Rawia and TLIJANI Hatem and KNANI Jilani}
}
