摘要
介绍了目前国内铁路货车故障数据统计分析方法,根据公司漏斗车检修的实际情况,提出了对漏斗车在厂检修数据收集整理统计方法。该方法可运用系统软件对典型车型常见故障的发生因素、故障现象等情况分析,为实现车辆健康管理(简称PHM)和产品质量的提升提供可能。
This paper introduces the statistical analysis method of domestic railway freight car fault data at present.According to the actual situation of the company’s funnel car maintenance, it puts forward the statistical method of collecting and arranging the data of the funnel car maintenance in the factory, and uses the system software to analyze the common fault occurrence factors and fault phenomena of typical models, so as to realize the improvement of vehicle health management(abbreviated as PHM) and product quality.
作者
郭丹丹
赵明
Guo Dandan;Zhao Ming(Science and Technology Management Department,Taiyuan Locomotive and Rolling Stock Co.,Ltd.,Taiyuan Shanxi 030026)
出处
《机械管理开发》
2020年第8期261-263,共3页
Mechanical Management and Development