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Statistical Analysis and Neural Network in Detecting Steel Cord Failures in Conveyor Belts

Author

Listed:
  • Dominika Olchówka

    (Faculty of Geoengineering Mining and Geology, Wroclaw University of Science and Technology, Na Grobli 15, 50-421 Wroclaw, Poland)

  • Aleksandra Rzeszowska

    (Faculty of Electronics, Wroclaw University of Science and Technology, Janiszewskiego 11/17, 50-372 Wroclaw, Poland)

  • Leszek Jurdziak

    (Faculty of Geoengineering Mining and Geology, Wroclaw University of Science and Technology, Na Grobli 15, 50-421 Wroclaw, Poland)

  • Ryszard Błażej

    (Faculty of Geoengineering Mining and Geology, Wroclaw University of Science and Technology, Na Grobli 15, 50-421 Wroclaw, Poland)

Abstract

This paper presents the identification and classification of steel cord failures in the conveyor belt core based on an analysis of a two-dimensional image of magnetic field changes recorded using the Diagbelt system around scanned failures in the test belt. The obtained set of identified changes in images, obtained for numerous parameters settings of the device, were the base for statistical analysis. This analysis makes it possible to determine the Pearson’s linear correlation coefficient between the parameters being changed and the image of the failures. In the second stage of the research, artificial intelligence methods were applied to construct a multilayer neural network (MLP) and to teach it appropriate identification of damage. In both methods, the same data sets were used, which made it possible to compare methods.

Suggested Citation

  • Dominika Olchówka & Aleksandra Rzeszowska & Leszek Jurdziak & Ryszard Błażej, 2021. "Statistical Analysis and Neural Network in Detecting Steel Cord Failures in Conveyor Belts," Energies, MDPI, vol. 14(11), pages 1-11, May.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:11:p:3081-:d:562229
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    Citations

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    Cited by:

    1. Paweł Bogacz & Łukasz Cieślik & Dawid Osowski & Paweł Kochaj, 2022. "Analysis of the Scope for Reducing the Level of Energy Consumption of Crew Transport in an Underground Mining Plant Using a Conveyor Belt System Mining Plant," Energies, MDPI, vol. 15(20), pages 1-16, October.
    2. Mirosław Bajda & Monika Hardygóra & Daniela Marasová, 2022. "Energy Efficiency of Conveyor Belts in Raw Materials Industry," Energies, MDPI, vol. 15(9), pages 1-6, April.
    3. Ryszard Błażej & Leszek Jurdziak & Agata Kirjanów-Błażej & Mirosław Bajda & Dominika Olchówka & Aleksandra Rzeszowska, 2022. "Profitability of Conveyor Belt Refurbishment and Diagnostics in the Light of the Circular Economy and the Full and Effective Use of Resources," Energies, MDPI, vol. 15(20), pages 1-15, October.

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