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基于经验模态分解的汽车动态称重数据处理
引用本文:周志锋,蔡萍,许嘉,陈日兴. 基于经验模态分解的汽车动态称重数据处理[J]. 中国机械工程, 2005, 16(20): 1813-1816
作者姓名:周志锋  蔡萍  许嘉  陈日兴
作者单位:1. 上海交通大学,上海,200030
2. 上海大和衡器有限公司,上海,201201
摘    要:在论述经验模态分解(EMD)的基础上,提出了虚假模态的概念.讨论了虚假模态对信号稳态量的影响及其相应的处理方法,结合汽车称重信号的特点,应用EMD方法对实测信号进行了分解,对分解结果进行了分析和说明.5组100个称重信号的分解结果表明,EMD方法对汽车动态称重信号的处理是有效的,车速小于等于30km/h时前轴的偏差为5.23%,后轴偏差为10.30%,总重偏差为6.93%.

关 键 词:动态称重  经验模态分解(EMD)  虚假模态  动态数据处理
文章编号:1004-132X(2005)20-1813-04
收稿时间:2004-10-22
修稿时间:2004-10-22

Application of Empirical Mode Decomposition(EMD) in Weigh-in-Motion of Vehicles
Zhou Zhifeng,Cai Ping,Xu Jia,Chen Rixing. Application of Empirical Mode Decomposition(EMD) in Weigh-in-Motion of Vehicles[J]. China Mechanical Engineering, 2005, 16(20): 1813-1816
Authors:Zhou Zhifeng  Cai Ping  Xu Jia  Chen Rixing
Affiliation:1. Shanghai Jiao Tong University, Shanghai,200030; 2. Shanghai Yamato Scale Co. Ltd. , Shanghai,201201
Abstract:The concept of EMD was introduced first,then brough forward the concept of false mode and discussed its influences on the trend of signals.EMD was used to analyse field signals with respect to the features of the weigh-in-motion signals.The results show that EMD is effective in processing the weigh-in-motion signals and the max deviation of front axel weight,rear axel weight and gross weight are less than 5.23%,10.30% and 6.93% respectively.
Keywords:weigh-in-motion  EMD  false mode  dynamic data processing
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