Title :
Research of Ultrasonic Flow Measurement and Temperature Compensation System Based on Neural Network
Author :
Wang, Yan-Xia ; Li, Zhi-Hao ; Zhang, Ting-Hu
Author_Institution :
Coll. of Autom. & Electr. Eng., Qingdao Univ. of Sci. & Technol., Qingdao, China
Abstract :
In traditional ultrasonic flow measurement, temperature has great great influence on the speed of sound. To insure high accuracy and sensitivity measurement of ultrasonic flow meter, on the basis of nonlinear compensation method, temperature compensating model of ultrasonic flow measurement is established by the application of BP (Back Propagation) neural network. The system hardware structure design of ultrasonic flow measurement system with temperature compensation is completed, doing analysis and research to some circuits of system and work process. The network was trained using the measured samples by using MATLAB software, based on this compensating the temperature of the ultrasonic flow measurement system. By using neural network technique, the precision of the ultrasonic flow measurement is improved greatly, and the accurate intelligent temperature compensation of the ultrasonic flow measurement is made.
Keywords :
backpropagation; flow measurement; flowmeters; neural nets; ultrasonics; MATLAB software; backpropagation neural network; hardware structure design; intelligent temperature compensation; neural network; nonlinear compensation method; sound speed; temperature compensation system; ultrasonic flow measurement; ultrasonic flow meter; Acoustics; Artificial neural networks; Fluid flow measurement; Oscillators; Temperature measurement; Temperature sensors; Ultrasonic variables measurement; Neural Network; emperature compensation; flow measurement; ultrasonic;
Conference_Titel :
Artificial Intelligence and Computational Intelligence (AICI), 2010 International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-8432-4
DOI :
10.1109/AICI.2010.63