数据采集与处理2019，Vol.34Issue(2)：349-357,9.DOI:10.16337/j.1004-9037.2019.02.018
智能手机检测车辆振动加速度数据预处理方法
Data Preprocessing Method of Vehicle Vibration Acceleration by Smartphone
摘要
Abstract
When extracting vehicle vibration acceleration from smart phone through software developed, the data quality of the vibration acceleration of the vehicle should be guaranteed in order to correctly evaluate the track smoothness and vehicle running comfort. This paper establishes an abnormal value recognition model based on the methods of probability-statistics and wavelet, in which median filter and wavelet filter are used to eliminate the random errors caused by the performance stability of mobile sensors and the change of testing environment. The effect of two filtering methods on the random error of mobile phone detection data is verified by combining with the detection data from Chengdu metro. The analysis result shows that the abnormal value location of mobile phone detection data can be accurately extracted based on the abnormal value recognition model. The mobile phone detection data truly reflect the vibration response of the car body by eliminating random errors caused by external environmental changes using methods of median filter and wavelet filter, so the model can be used to correctly evaluate the track smooth state and vehicle operating comfort.关键词
智能手机/车体振动响应/异常值/数据预处理Key words
smart phone/vibration response of car body/abnormal value/data preprocessing分类
交通工程引用本文复制引用
从建力,王源,杨翠平,王平,李成辉..智能手机检测车辆振动加速度数据预处理方法[J].数据采集与处理,2019,34(2):349-357,9.基金项目
国家杰出青年科学基金(51425804)资助项目 （51425804）
南昌铁路局科技研究开发计划资助项目 （）
