Soft calibration technique with SVM for intelligent flow measurement

K. V. Santhosh, B. K. Roy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Design of an adaptive soft calibration circuit with support vector machine (SVM) for flow measurement using orifice flowmeter is reported in this paper. The objectives of the present work are the following: (i) to extend linearity range of measurement to 100 % of full-scale input range and (ii) to make measurement technique adaptive to variations in ratio of orifice hole to pipe diameter (β), liquid density, and liquid temperature. SVM model is trained to map output voltage of data conversion unit to produce linear characteristics with input flow rate, and independent of variations in ratio of orifice hole to pipe diameter, liquid density, and liquid temperature all within certain range. Further, the proposed technique is tested with simulated data. Results show that the proposed technique has fulfilled its set objectives.

Original languageEnglish
Title of host publicationSystems Thinking Approach for Social Problems - Proceedings of 37th National Systems Conference, 2013
PublisherSpringer Verlag
Pages63-73
Number of pages11
Volume327
ISBN (Electronic)9788132221401
DOIs
Publication statusPublished - 2015
Event37th National Systems Conference, 2013 - Jodhpur, India
Duration: 05-12-201307-12-2013

Publication series

NameLecture Notes in Electrical Engineering
Volume327
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference37th National Systems Conference, 2013
CountryIndia
CityJodhpur
Period05-12-1307-12-13

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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    Santhosh, K. V., & Roy, B. K. (2015). Soft calibration technique with SVM for intelligent flow measurement. In Systems Thinking Approach for Social Problems - Proceedings of 37th National Systems Conference, 2013 (Vol. 327, pp. 63-73). (Lecture Notes in Electrical Engineering; Vol. 327). Springer Verlag. https://doi.org/10.1007/978-81-322-2141-8_6