An intelligent flow measurement technique by venturi flowmeter using optimized ANN

Santhosh Krishnan Venkata, Binoy Krishna Roy

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

2 Citations (Scopus)

Abstract

An intelligent flow measurement technique by venturi flow meter using an optimized Artificial Neural Network (ANN) is presented. The objectives of the present work are (i) to extend the linearity range of measurement to 100 % of the full scale, (ii) to make the measurement technique adaptive of variation in (a) venturi diameter ratio, (b) discharge coefficient, (c) liquid density, and (d) liquid temperature, and (iii) to achieve objectives (i) and (ii) by using an optimized neural network.

Original languageEnglish
Title of host publicationIAENG Transactions on Engineering Technologies - Special Issue of the International MultiConference of Engineers and Computer Scientists 2012
Pages341-352
Number of pages12
Volume186 LNEE
DOIs
Publication statusPublished - 2013
Externally publishedYes
EventInternational MultiConference of Engineers and Computer Scientists 2012, IMECS 2012 - Hong Kong, Hong Kong
Duration: 14-03-201216-03-2012

Publication series

NameLecture Notes in Electrical Engineering
Volume186 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

ConferenceInternational MultiConference of Engineers and Computer Scientists 2012, IMECS 2012
CountryHong Kong
CityHong Kong
Period14-03-1216-03-12

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

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  • Cite this

    Venkata, S. K., & Roy, B. K. (2013). An intelligent flow measurement technique by venturi flowmeter using optimized ANN. In IAENG Transactions on Engineering Technologies - Special Issue of the International MultiConference of Engineers and Computer Scientists 2012 (Vol. 186 LNEE, pp. 341-352). (Lecture Notes in Electrical Engineering; Vol. 186 LNEE). https://doi.org/10.1007/978-94-007-5651-9-25