Approximation of a coal mass by an ultrasonic sensor using regression rules

Authors:
Marek Sikora;Marcin Michalak;Beata Sikora
Affiliations:
Silesian University of Technology, Gliwice, Poland and Institute of Innovative Technologies EMAG, Katowice, Poland;Silesian University of Technology, Gliwice, Poland and Central Mining Institute, Katowice, Poland;Silesian University of Technology, Gliwice, Poland and Central Mining Institute, Katowice, Poland
Venue:
PReMI'11 Proceedings of the 4th international conference on Pattern recognition and machine intelligence
Year:
2011

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Abstract

A method of approximation the mass of coal moving on a conveyor belt under the ultrasonic sensor that measures a height of coal pile is described in the paper. A process of defining a set of variables that affects the approximated coal mass is presented. A model of multiple regression and an algorithm of regression rules induction based on the M5 algorithm have been exploited to relate momentary values of the coal pile with the mass of moving coal.