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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.The concept and algorithm of EMD arēintroduced.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.
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. The concept and algorithm of EMD arēintroduced. 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. Numericalumerical and field experiments are evaluated to performance the 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.