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All Journal Bulletin of Electrical Engineering and Informatics
Abdulkreem M Salih
Northern Technical University
Electrical & Electronics Engineering

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Scaled conjugate gradient ANN for industrial sensors calibration Karam Mazin Zeki Othman; Abdulkreem M Salih
Bulletin of Electrical Engineering and Informatics Vol 10, No 2: April 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i2.2738

Abstract

In this paper, artificial neural network is used to calibrate sensors that are commonly used in industry. Usually, such sensors have nonlinear input output characteristic that makes their calibration process rather inaccurate and unsatisfied. Artificial neural network is utilized in an inverse model learning mode to precisely calibrate such sensors. The scaled conjugate gradient (SCG) algorithm is used in the learning process. Three types of industrial sensors which are gas concentration sensor, force sensors and humidity sensors are considered in this work. It is found that the proposed calibration technique gives fast, robust and satisfactory results.
Co-Authors Karam Mazin Zeki Othman