摘要
应用威布尔概率分布及蒙特卡罗分析方法,对动车组卫生系统关键部件进行了研究,得到了其最佳维修时间。该方法对修程修制的优化、提升维修质量、降低维修成本具有重要的工程应用价值。
The Weibull probability distribution and Monte Carlo analysis method are applied to research the key parts in the hygienic system on multiple units,and the best repair time is obtained.The method has important engineering application value in optimization of repair class and repair system,improving the repair quality and reducing the repair cost.
作者
万成
WAN Cheng(Rolling Stock Department of China Railway Wuhan Group Co.,Ltd.,Wuhan 430000,China)
出处
《铁道车辆》
2019年第3期42-44,I0002,共4页
Rolling Stock
关键词
大数据
动车组
维修间隔
big data
multiple units
interval time of repair