The Measurement of Solid Phase Mass Flow Rate in Pneumatically Conveyed System

被引：0

作者：

Zhao, Dongmei ^{[1
]}

机构：

[1] Hebei United Univ, Tangshan, Hebei, Peoples R China

来源：

INTERNATIONAL CONFERENCE ON ELECTRICAL AND CONTROL ENGINEERING (ICECE 2015) | 2015年

关键词：

particles mass flowrate; soft sensor; BP neural network; elbow-ultrasonic;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

It is very difficult for the elbow method to accurately measure the particles mass flowrate of pneumatic conveying system. A soft sensor model for the particles mass concentration measurement using the elbow-ultrasonic method is developed. The elbow-ultrasonic method is based on the elbow flowrate measurement method and the Ultrasonic velocity method. The experiment system is built. A nonlinear soft sensor model is established using the BP neural network. The training data samples are the 15 groups of the experiment data and. the soft sensor model is gotten. The other 15 groups of data are used to calibration. The calibration result is indicated that the average error of model is less than 15%. The experiment results prove the validity and reliability of the model. The soft sensor model lowers the calculation complexity and provides an effective solution to online mass flow rate measurement.

引用

页码：167 / 171

页数：5