摘要
为探索轨道几何状态变化趋势,利用小波变换和ARIMA模型研究了盘营高速铁路下行线某区段TQI值的变化规律。首先利用小波变换将原始数据分解为平稳的高频信号和低频信号,然后用ARIMA模型分别拟合高、低频信号,最后对高、低频信号的拟合值进行小波重构获得原始数据的拟合值。结果表明:基于小波变换的ARIMA模型预测结果误差较小,与实际检测结果基本一致,说明模型拟合结果良好,能在一定程度上预测TQI的变化趋势。
In order to explore the change trend of track geometry state,this paper used wavelet transform and ARIMA model to study the change law of TQI value in a section of Panying high speed railway downlink.Firstly,the original data was decomposed into stable high-frequency signal and low-frequency signal by wavelet transform.Then,ARIMA model was used to fit high-frequency and low-frequency signals respectively.Finally,the fitting values of high-frequency and low-frequency signals were reconstructed by wavelet transform to obtain the fitting values of original data.The results show that the prediction error of ARIMA model based on wavelet transform is small and is basically consistent with the actual test results,which indicates that the model fitting results are good and can predict the change trend of TQI to a certain extent.
作者
赵隽
李林灿
左自辉
殷勇
ZHAO Jun;LI Lincan;ZUO Zihui;YIN Yong(Infrastructure Inspection Center,CHINA RAILWAY,Beijing 100081,China;Infrastructure Inspection Research Institute,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China;Department of Transport,China Railway Shanghai Bureau Group Co.Ltd.,Shanghai 200071,China)
出处
《铁道建筑》
北大核心
2020年第10期126-129,共4页
Railway Engineering
基金
中国铁道科学研究院集团有限公司基金(1851JJ5304)
中国铁路总公司科技研究开发计划(P2018G051)。
