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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

Model Study and Fault Detection for the Railway System

Author 1: ARFA Rawia Author 2: TLIJANI Hatem Author 3: KNANI Jilani
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 8, No. 11 · Published 2017

DOI: https://doi.org/10.14569/IJACSA.2017.081157

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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

How to Cite this Article

Rawia, A., Hatem, T., & Jilani, K. (2017). Model Study and Fault Detection for the Railway System. International Journal of Advanced Computer Science and Applications, 8(11). https://doi.org/10.14569/IJACSA.2017.081157

Rawia, ARFA, et al.. "Model Study and Fault Detection for the Railway System." International Journal of Advanced Computer Science and Applications, vol. 8, no. 11, 2017, https://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},
  volume    = {8},
  number    = {11},
  year      = {2017},
  publisher = {The Science and Information Organization},
  author    = {ARFA Rawia and TLIJANI Hatem and KNANI Jilani},
  doi       = {10.14569/IJACSA.2017.081157},
  url       = {https://doi.org/10.14569/IJACSA.2017.081157}
}

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