期刊名称：International Journal on Electrical Engineering and Informatics
印刷版ISSN：2085-6830
出版年度：2015
卷号：7
期号：3
DOI：10.15676/ijeei.2015.7.3.2
出版社：School of Electrical Engineering and Informatics
摘要：Design of an intelligent flow measurement technique by ultrasonic transducersusing an Optimized Artificial Neural Network (OANN) is discussed in this paper. Theobjectives of the present work are (i) to extend the linearity range of flow measurementto 100% of full scale input range, (ii) to make the flow measurement technique adaptiveto variations in (a) pipe diameter, (b) liquid density, (c) liquid temperature, and (iii) toachieve objectives (i) and (ii) by using an optimized artificial neural network. Theoutput of an ultrasonic transducer is frequency. It is converted to voltage by using asuitable data conversion circuit. A suitable optimal ANN is added, in place ofconventional calibration circuit, in cascade to data conversion circuit. ANN is trained,and tested with simulated data considering various values of pipe diameter, liquiddensity, and liquid temperature. The proposed technique is then subjected to practicaldata for validation. Results show that the proposed technique has fulfilled the desiredobjectives.
