Opis

• Tytuł:
  ANALYSIS OF THE MINING TORQUE SIGNAL WITH CONTINUOUS WAVELET TRANSFORM
• Twórca:
  Jonak, Józef;
  Jedliński, Łukasz;
  Gajewski, Jakub
• Opis:
  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.
• Dostępność obiektu:
  Dostęp otwarty
• Prawa:
  Copyright (c) 2015 Mechanics and Control
• Data:
  2011.01.17
• Typ:
  info:eu-repo/semantics/article;
  info:eu-repo/semantics/publishedVersion
• Język:
  angielski
• Źródło:
  2300-7079;
  2083-6759
• Format:
  application/pdf
• Wydawca:
  AGH University of Science and Technology Press
• Relacja: https://journals.agh.edu.pl/mech/article/view/1713/1290
• Temat i słowa kluczowe:
  Continuous Wavelet Transform;
  multi-tool head;
  artificial neural network
• Identyfikator: https://journals.agh.edu.pl/mech/article/view/1713
• Dostawca danych:
  AGH University of Science and Technology Journals
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