A virtual temperature sensor for an infrared dryer

  • Abdullah Alqallaf
Keywords: temperature virtual sensor, artificial neural network, infrared dryer, radiation

Abstract

This paper aims at introduction, design and validation of a temperature virtual sensor for an infrared dryer. As proposed in this article, a virtual sensor is an algorithm to estimate the temperature at one or some points in a thermal system (e.g. an infrared dryer) based on the measured temperature at a number of other points. In this research, the designed algorithm estimates the temperature of a single point; however, the methodology can be evidently extended to multiple points.  Inspired by direct and inverse heat transfer models, a mathematical model is presented for virtual sensing. This model is developed and identified using artificial neural network (ANN) technique and laboratory experimental data. The proposed method exhibits excellent accuracy with no need to thermo-physical properties of the system.

Author Biography

Abdullah Alqallaf
Abdullah K. Alqallaf is an assistant professor with the Department of Electrical Engineering at the Kuwait University. He received the B.S. and M.S. degrees in electrical engineering from Kuwait University in 1996 and 1999, respectively, and the Ph.D. degree in electrical engineering from the University of Minnesota – twin cities, St. Paul, MN, in 2009. Alqallaf’s research interests are Microwave Imaging Techniques, Multimedia Signal Processing, Communication, Bioinformatics and Medical Image Analysis. Alqallaf is an IEEE Senior Member and an IEEE Board Member –Educational & Professional Activities- Kuwait section.

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Published
2019-11-20
Section
Electrical Engineering (2)