Description

• Title:
  ANALYSIS OF THE MINING TORQUE SIGNAL WITH CONTINUOUS WAVELET TRANSFORM
• Creator:
  Jonak, Józef;
  Jedliński, Łukasz;
  Gajewski, Jakub
• Description:
  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.
• Object availability:
  free access
• Rights:
  Copyright (c) 2015 Mechanics and Control
• Date:
  2011.01.17
• Type:
  info:eu-repo/semantics/article;
  info:eu-repo/semantics/publishedVersion;
  Peer-reviewed Article
• Language:
  English
• Source:
  Mechanics and Control; Vol. 29 No. 4 (2010);
  2300-7079;
  2083-6759
• Format:
  application/pdf
• Publisher:
  AGH University of Science and Technology Press
• Relation: https://journals.agh.edu.pl/mech/article/view/1713/1290
• Subject:
  Continuous Wavelet Transform;
  multi-tool head;
  artificial neural network
• Identifier: https://journals.agh.edu.pl/mech/article/view/1713
• Data provider:
  AGH University of Science and Technology Journals
• Can I use it?:
  seek permission
• Type:
  text