关键词: 装载机, 动态称重系统, 经验模态分解, 遗传神经网络

Abstract: The output signal of pressure sensor installed in the dynamic weighing system for loader contains strong vibration, noise, nonlinear signal. The accuracy of the dynamic weighing system is closely related to the pressure signal. An Empirical Mode Decomposition（EMD） algorithm is proposed to preprocess the signal contaminated. The real weighing signal is filtered out. BP neural network is used to fit the nonlinear relationship between the weighing signal and the weights of the goods. The genetic algorithm is put forward to speed up the convergence. The suitable mathematical model of nonlinear measure weight is obtained. The emulation analysis and the results show that by using the above method, measure precision is efficacious.

Key words: loader, dynamic weighing system, Empirical Mode Decomposition（EMD）, genetic neural network