本文提出了一种基于人工神经网络的纸浆浓度传感器非线性估计和动态标定新方法。
Anew method to pulp consistency sensor nonlinear estimation and dynamic calibration based on artificial neural networks is proposed.
对于测量煤泥、纸浆、污泥等高浓度粘稠物料在输送管道中的压力，普通的压力传感器不能适用。
The pressure of viscous materials with high concentration such as coal slurry, paper pulp, waste mud in the transportation pipeline can't be measured by common pressure sensors.
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