Development of Railway Vibration Evaluation System Using Actual Railway Vibration Database


KIPS Transactions on Software and Data Engineering, Vol. 8, No. 4, pp. 153-162, Apr. 2019
https://doi.org/10.3745/KTSDE.2019.8.4.153,   PDF Download:
Keywords: Railway, Vibration&Noise Database, Gradient Descent, Inference System
Abstract

Recently, it is necessary to develop a technology for quantitatively evaluating railway vibration to prevent civil complaints about orbital structures caused by railway noise and normal operation of ultra-precise equipment of orbital industrial complexes. The existing analytical method requires a very complicated dynamic response model, and it is difficult to secure the reliability of the result due to the inaccuracy of the demand model. Therefore, in this paper, we propose a railway vibration evaluation algorithm and system that deduce the vibration value generated from railway operation by using Linear Regression and Gradient Descent technique based on actual measurement railway vibration database that classifies factors affecting railway vibration. The prediction results obtained by the proposed algorithm show higher efficiency and accuracy than the existing analytical methods.


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Cite this article
[IEEE Style]
L. Hyunjun, S. E. Seong, H. Y. Sup, "Development of Railway Vibration Evaluation System Using Actual Railway Vibration Database," KIPS Transactions on Software and Data Engineering, vol. 8, no. 4, pp. 153-162, 2019. DOI: https://doi.org/10.3745/KTSDE.2019.8.4.153.

[ACM Style]
Lee Hyunjun, Seo Eun Seong, and Hwang Young Sup. 2019. Development of Railway Vibration Evaluation System Using Actual Railway Vibration Database. KIPS Transactions on Software and Data Engineering, 8, 4, (2019), 153-162. DOI: https://doi.org/10.3745/KTSDE.2019.8.4.153.