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Implementation of Magnetic Markers for the Diagnostics of Conveyor Belt Transportation Systems

Author

Listed:
  • Karol Semrád

    (Faculty of Aeronautics, Technical University of Košice, Rampová 7, 040 01 Košice, Slovakia)

  • Katarína Draganová

    (Faculty of Aeronautics, Technical University of Košice, Rampová 7, 040 01 Košice, Slovakia)

Abstract

Together with the research and development of belt conveyors, diagnostic methods for their reliable operation have been developed. Our research is focused on the development of a diagnostic system and method of sensing the magnetic markers implemented directly into the conveyor belt, as in this way, it is possible to determine the velocity of the conveyor belt, which can be a source of information about the potential malfunction of the drive unit, control system, or of the belt itself. The magnetic markers can be also used to mark the particular segments of the conveyor belt, which can significantly enhance maintenance procedures thanks to the identification of damaged segments and the possibility to stop the conveyor belt in the maintenance area. However, problems can occur with the implementation of the magnetic markers. To prevent the magnetic markers from falling out, FEM (finite element method) simulations and analyses of commercially available magnetic markers with different dimensions were performed to analyze the nominal and friction force and related average contact pressure acting on the magnetic markers implemented into holes drilled into the conveyor belt in the curved state when passing through the drum.

Suggested Citation

  • Karol Semrád & Katarína Draganová, 2023. "Implementation of Magnetic Markers for the Diagnostics of Conveyor Belt Transportation Systems," Sustainability, MDPI, vol. 15(11), pages 1-17, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:11:p:8705-:d:1157749
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    References listed on IDEAS

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    1. Hamid Shiri & Jacek Wodecki & Bartłomiej Ziętek & Radosław Zimroz, 2021. "Inspection Robotic UGV Platform and the Procedure for an Acoustic Signal-Based Fault Detection in Belt Conveyor Idler," Energies, MDPI, vol. 14(22), pages 1-17, November.
    2. Dawid Szurgacz & Sergey Zhironkin & Stefan Vöth & Jiří Pokorný & A.J.S. (Sam) Spearing & Michal Cehlár & Marta Stempniak & Leszek Sobik, 2021. "Thermal Imaging Study to Determine the Operational Condition of a Conveyor Belt Drive System Structure," Energies, MDPI, vol. 14(11), pages 1-18, June.
    3. Xiangong Li & Yu Li & Yuzhi Zhang & Feng Liu & Yu Fang, 2020. "Fault Diagnosis of Belt Conveyor Based on Support Vector Machine and Grey Wolf Optimization," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-10, September.
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