A Practically Validated Intelligent Calibration Circuit Using Optimized ANN for Flow Measurement by Venturi

Santhosh, K V and Roy, B K (2015) A Practically Validated Intelligent Calibration Circuit Using Optimized ANN for Flow Measurement by Venturi. Journal of The Institution of Engineers (India): Series B. ISSN 2250-2106

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Abstract

Design of an intelligent flow measurement technique using venturi flow meter is reported in this paper. The objectives of the present work are: (1) to extend the linearity range of measurement to 100 % of full scale input range, (2) to make the measurement technique adaptive to variations in discharge coefficient, diameter ratio of venturi nozzle and pipe (b), liquid density, and liquid temperature, and (3) to achieve the objectives (1) and (2) using an optimized neural network. The output of venturi flow meter is differential pressure. It is converted to voltage by using a suitable data conversion unit. A suitable optimized artificial neural network (ANN) is added, in place of conventional calibration circuit. ANN is trained, tested with simulated data considering variations in discharge coefficient, diameter ratio between venturi nozzle and pipe, liquid density, and liquid temperature. The proposed technique is then subjected to practical data for validation. Results show that the proposed technique has fulfilled the objectives

Item Type: Article
Uncontrolled Keywords: Artificial neural network � Calibration � Flow measurement � Optimization � Venturi flow meter
Subjects: Engineering > MIT Manipal > Electrical and Electronics
Engineering > MIT Manipal > Instrumentation and Control
Depositing User: MIT Library
Date Deposited: 28 Dec 2015 15:29
Last Modified: 27 Jul 2016 11:15
URI: http://eprints.manipal.edu/id/eprint/144957

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