ANALYSIS OF THE MINING TORQUE SIGNAL WITH CONTINUOUS WAVELET TRANSFORM

Authors

  • Józef Jonak Lublin University of Technology
  • Łukasz Jedliński Lublin University of Technology
  • Jakub Gajewski Lublin University of Technology

Keywords:

Continuous Wavelet Transform, multi-tool head, artificial neural network

Abstract

This paper presents an analysis of the excavation torque signal with the use of a Continuous Wavelet Transform. The article also presents results of preliminary research on utilising neural networks to identify excavating cutting tools type used in multi-tool excavating heads of mechanical coal miners.

Selected wavelet coefficients were used as data to teach artificial neural network. The research is necessary to identify rock excavating process with a given head, and design adaptation system for control of mining process with such a head. The results of numerical analyses conducted with the use of Neural Networks are presented.

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References

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Published

2011-01-17

Issue

Vol. 29 No. 4 (2010)

Section

Articles

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