摘要
随着社会科学技术的发展,动车组维修技术得到了提高,动车组运行时间越长相应的故障率也越高。通过状态维修策略中采集实时数据,与正常值进行对比,就可以发现非正常值,然后预测关键部件的寿命,使动车组达到最优状态。利用状态维修策略建立关键部件的寿命预测模型,通过MATLAB计算数据。结果表明,所研究的模型方法可用于故障性动车组将要运行时间的确定。
Along with the development of science and technology, the technologies of EMU equipment maintenance were improved. With the accumulation of running time, the probability of equipment failure was also increased. Condition-based maintenance strategy was to collect the equipment running real-time data, compare it with the normal value, ifnd the potential failures and predict the life. Based on the strategy, it was established a new model for key components life prediction. The data was calculated with MATLAB. The results showed that the model could be applied to the conifrmation of the running time of EMU.
出处
《铁路计算机应用》
2015年第7期1-4,共4页
Railway Computer Application
基金
国家"八六三"计划项目(2012AA040812)
关键词
状态维修
动车组
寿命预测
故障率
condition-based maintenance
Electronic Multiple Units（EMU）
life prediction
failure rate
