Application of the grey system theory in analysis of track irregularity

摘要：

　　As a time series with random characteristics,Track Quality Index (TQI) is an important indicator to measure the track condition.Based on the grey system theory,the paper researches the relationship among mainly indicators of TQI,and predicts the future TQI value through residual correction model in order to provide theoretical support for maintenance and repair.

关键词： TQI Track state Grey correlation degree Residual correction GM(1,1) model

作者: Haijiao Li

作者单位: The Rail Traffic Control and Safety of State Key Laboratory, Beijing Jiaotong University, Beijing 100084, China

会议类型: 国际会议

会议名称: 2013 International Conference on Computational Science and Engineering(2013年计算科学与工程国际学术研讨会)

会议地点: 青岛

会议语种:英文

页码: 314-319

在线出版日期: 2013-07-01（万方平台首次上网日期，不代表论文的发表时间）