| 基于EMD的汽车轴重估计 |
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| 引用本文： | 周志峰,蔡萍.基于EMD的汽车轴重估计[J].上海大学学报(英文版),2008,12(1):76-79. |
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| 作者姓名： | 周志峰 蔡萍 |
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| 作者单位： | [1]School of Mechanical Engineering, Shanghai University of Engineering Science, Shanghai 201620, P. R. China [2]Department of Instrument Engineering, Shanghai Jiaotong University, Shanghai 200240, P. R. China |
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| 摘 要： | Dynanfic forces are the main factor that influences the axle weight measurement accuracy of moving vehicle. Empirical mode decomposition （EMD） is presented to separate the dynamic forces contained in the axle weight signal. The concept and algorithm of EMD are introduced. The characteristic of the axle weight signal is analyzed. The method of judging pseudo intrinsic mode function （pseudo-IMF） is presented to improve the weighing accuracy. Numerical simulation and field experiments are conducted to evaluate the performance of EMD. The result shows effectiveness of the proposed method. Maximum weighing errors of the front axle, the rear axle and the gross weight at the speed of 15 km/h or lower are 2.22%, 6.26% and 4.11% respectively.
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| 关 键 词： | weigh-in-motion empirical mode decomposition (EMD) pseudo intrinsic mode function (pseudo-IMF). 经验模态分解 汽车轴重 估计 empirical mode decomposition based moving vehicle lower speed Maximum errors front result effectiveness Numerical field experiments evaluate performance improve accuracy |
| 文章编号： | 10.1007/s11741-008-0115-1 |
| 收稿时间： | 2006-05-26 |
| 修稿时间： | 2006-08-28 |
Weighing axle weight of moving vehicle based on empirical mode decomposition |
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| Zhi-feng Zhou,Ping Cai.Weighing axle weight of moving vehicle based on empirical mode decomposition[J].Journal of Shanghai University(English Edition),2008,12(1):76-79. |
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| Authors: | Zhi-feng Zhou Ping Cai |
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| Institution: | 1. School of Mechanical Engineering, Shanghai University of Engineering Science, Shanghai 201620, P. R. China
2. Department of Instrument Engineering, Shanghai Jiaotong University, Shanghai 200240, P. R. China |
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| Abstract: | Dynamic forces are the main factor that influences the axle weight measurement accuracy of moving vehicle.Empirical mode decomposition (EMD) is presented to separate the dynamic forces contained in the axle weight signal. Theconcept and algorithm of EMD are introduced. The characteristic of the axle weight signal is analyzed. The method ofjudging pseudo intrinsic mode function (pseudo-IMF) is presented to improve the weighing accuracy. Numerical simulationand field experiments are conducted to evaluate the performance of EMD. The result shows effectiveness of the proposedmethod. Maximum weighing errors of the front axle, the rear axle and the gross weight at the speed of 15 km/h or lower are2.22%, 6.26% and 4.11% respectively. |
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| Keywords: | weigh-in-motion empirical mode decomposition (EMD) pseudo intrinsic mode function (pseudo-IMF) |
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