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研究利用WaveARX神经网络构造间歇过程的非参数化逼近模型,在分析其逼近偏差的基础上提出一种非线性次优滤波器设计方法,用于间歇过程的工况监测。实例仿真研究证实了该方法的可行性和有效性。
This paper studies the nonparametric approximation model of intermittent process using WaveARX neural network. Based on the analysis of the approximation bias, a nonlinear suboptimal filter design method is proposed for working condition monitoring of batch process. The case study shows that the method is feasible and effective.