Approximation of a Coal Mass by an Ultrasonic Sensor Using Regression Rules

  • Marek Sikora
  • Marcin Michalak
  • Beata Sikora
Conference paper

DOI: 10.1007/978-3-642-21786-9_56

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6744)
Cite this paper as:
Sikora M., Michalak M., Sikora B. (2011) Approximation of a Coal Mass by an Ultrasonic Sensor Using Regression Rules. In: Kuznetsov S.O., Mandal D.P., Kundu M.K., Pal S.K. (eds) Pattern Recognition and Machine Intelligence. PReMI 2011. Lecture Notes in Computer Science, vol 6744. Springer, Berlin, Heidelberg

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.

Keywords

applications of data mining regression rules coal weight approximation 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Marek Sikora
    • 1
    • 2
  • Marcin Michalak
    • 1
    • 3
  • Beata Sikora
    • 4
  1. 1.Silesian University of TechnologyGliwicePoland
  2. 2.Institute of Innovative Technologies EMAGKatowicePoland
  3. 3.Central Mining InstituteKatowicePoland
  4. 4.Silesian University of TechnologyGliwicePoland

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