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Integrated decision making for predictive maintenance of belt conveyor systems

Author

Listed:
  • Liu, Xiangwei
  • He, Daijie
  • Lodewijks, Gabriel
  • Pang, Yusong
  • Mei, Jie

Abstract

Belt conveyor systems are widely utilized for continuous transport of bulk materials. Maintenance activities are essential to ensure the reliability of belt conveyor systems. Conventional diagnosis decision is achieved based on empirical constant thresholds. The Challenge of this study is to propose a framework of integrated maintenance decision making for belt conveyor idlers. Information from operational conditions, reliability estimation of idlers and condition monitoring data are integrated for accurate decision making. Innovatively, in the proposed framework threshold of the monitoring parameter can vary according to real time operational conditions and reliability estimation results. A simulation study is presented to demonstrate the effectiveness of framework. Simulation results show that the framework can result in more accurate maintenance decision making compared to conventional approaches.

Suggested Citation

  • Liu, Xiangwei & He, Daijie & Lodewijks, Gabriel & Pang, Yusong & Mei, Jie, 2019. "Integrated decision making for predictive maintenance of belt conveyor systems," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 347-351.
    • Handle: RePEc:eee:reensy:v:188:y:2019:i:c:p:347-351
    DOI: 10.1016/j.ress.2019.03.047
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    References listed on IDEAS

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    1. Cancho, Vicente G. & Louzada-Neto, Franscisco & Barriga, Gladys D.C., 2011. "The Poisson-exponential lifetime distribution," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 677-686, January.
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    Cited by:

    1. Karol Semrád & Katarína Draganová, 2022. "Non-Destructive Testing of Pipe Conveyor Belts Using Glass-Coated Magnetic Microwires," Sustainability, MDPI, vol. 14(14), pages 1-15, July.
    2. Katarína Draganová & Karol Semrád & Monika Blišťanová & Tomáš Musil & Rastislav Jurč, 2021. "Influence of Disinfectants on Airport Conveyor Belts," Sustainability, MDPI, vol. 13(19), pages 1-13, September.
    3. Ahmed, Umair & Carpitella, Silvia & Certa, Antonella, 2021. "An integrated methodological approach for optimising complex systems subjected to predictive maintenance," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    4. 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.
    5. Sotiris P. Gayialis & Evripidis P. Kechagias & Grigorios D. Konstantakopoulos & Georgios A. Papadopoulos, 2022. "A Predictive Maintenance System for Reverse Supply Chain Operations," Logistics, MDPI, vol. 6(1), pages 1-14, January.

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