当前位置:
X-MOL 学术
›
Proc. Inst. Mech. Eng. Part F: J. Rail Rapid Transit
›
论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Optimal track geometry maintenance limits using machine learning: A case study
Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit ( IF 2 ) Pub Date : 2020-11-03 , DOI: 10.1177/0954409720970096 Ahmad Kasraei 1 , Jabbar Ali Zakeri 1 , Arash Bakhtiary 1
Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit ( IF 2 ) Pub Date : 2020-11-03 , DOI: 10.1177/0954409720970096 Ahmad Kasraei 1 , Jabbar Ali Zakeri 1 , Arash Bakhtiary 1
Affiliation
The aim of this study has been to determine the optimal maintenance limits for one of the main railway lines in Iran in such a way that the total maintenance costs are minimized. For this purpose, ...
中文翻译:
使用机器学习的最佳轨道几何维护限制:案例研究
本研究的目的是确定伊朗主要铁路线之一的最佳维护限制,以使总维护成本最小化。以此目的, ...
更新日期:2020-11-03
中文翻译:
使用机器学习的最佳轨道几何维护限制:案例研究
本研究的目的是确定伊朗主要铁路线之一的最佳维护限制,以使总维护成本最小化。以此目的, ...