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The Reliability and Exploitation Analysis Method of the ICT System Power Supply with the Use of Modelling Based on Rough Sets

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  • Marek Stawowy

    (Faculty of Transport, Warsaw University of Technology, 75 Koszykowa St., 00-662 Warsaw, Poland)

  • Adam Rosiński

    (Faculty of Transport, Warsaw University of Technology, 75 Koszykowa St., 00-662 Warsaw, Poland)

  • Jacek Paś

    (Division of Electronic Systems Exploitations, Institute of Electronic Systems, Faculty of Electronics, Military University of Technology, 2 Gen. S. Kaliski St., 00-908 Warsaw, Poland)

  • Stanisław Duer

    (Department of Energy, Faculty of Mechanical Engineering, Technical University of Koszalin, 15–17 Raclawicka St., 75-620 Koszalin, Poland)

  • Marta Harničárová

    (Department of Mechanical Engineering, Faculty of Technology, Institute of Technology and Business in České Budějovice, Okružní 10, 370 01 České Budějovice, Czech Republic
    Institute of Electrical Engineering, Automation, Informatics and Physics, Faculty of Engineering, Slovak University of Agriculture in Nitra, Tr. A. Hlinku 2, 949 76 Nitra, Slovakia)

  • Krzysztof Perlicki

    (Institute of Telecommunications, Faculty of Electronics and Information Technology, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland)

Abstract

The article describes a new approach to the reliability–exploitation analysis of the critical information and communications technology (ICT) system power supply. A classic approach based on statistical indicators and a new one founded on uncertainty modelling based on the rough set method is presented. The main advantage of the uncertainty modelling approach is the simplification of the calculations and the fact that, unlike statistical analysis, uncertainty modelling does not require complete information on the used data sets. An extensive study of world publications was carried out, proving that this is an entirely innovative approach to solving the problem of reliability and exploitation analysis. Calculations, analyses and syntheses are also exhibited in a specific example. A sample of the ICT system power supply was simulated, and the simulation results are shown. The simulations were prepared by one of the co-authors for the purposes of this article.

Suggested Citation

  • Marek Stawowy & Adam Rosiński & Jacek Paś & Stanisław Duer & Marta Harničárová & Krzysztof Perlicki, 2023. "The Reliability and Exploitation Analysis Method of the ICT System Power Supply with the Use of Modelling Based on Rough Sets," Energies, MDPI, vol. 16(12), pages 1-18, June.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:12:p:4621-:d:1167998
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    References listed on IDEAS

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    1. Juliusz Karolak & Wiktor B. Daszczuk & Waldemar Grabski & Andrzej Kochan, 2022. "Temporal Verification of Relay-Based Railway Traffic Control Systems Using the Integrated Model of Distributed Systems," Energies, MDPI, vol. 15(23), pages 1-22, November.
    2. Krzykowski, Michał & Krzykowska, Karolina, 2017. "Will the European Commission's policy hinder gas supplies to Central and Eastern European countries? OPAL case decision," Energy Policy, Elsevier, vol. 110(C), pages 534-541.
    3. Jarosław Łukasiak & Michał Wiśnios & Adam Rosiński, 2023. "Method for Evaluating the Effectiveness of Electrical Circuit Protection with Miniature Fuse-Links," Energies, MDPI, vol. 16(2), pages 1-28, January.
    4. Hou, Zhijian & Lian, Zhiwei & Yao, Ye & Yuan, Xinjian, 2006. "Cooling-load prediction by the combination of rough set theory and an artificial neural-network based on data-fusion technique," Applied Energy, Elsevier, vol. 83(9), pages 1033-1046, September.
    5. Ajit Kumar Verma & Ajit Srividya & Durga Rao Karanki, 2010. "Reliability and Safety Engineering," Springer Series in Reliability Engineering, Springer, number 978-1-84996-232-2, December.
    6. Marek Stawowy & Adam Rosiński & Jacek Paś & Tomasz Klimczak, 2021. "Method of Estimating Uncertainty as a Way to Evaluate Continuity Quality of Power Supply in Hospital Devices," Energies, MDPI, vol. 14(2), pages 1-16, January.
    7. Zhou, Kaile & Wei, Shuyu & Yang, Shanlin, 2019. "Time-of-use pricing model based on power supply chain for user-side microgrid," Applied Energy, Elsevier, vol. 248(C), pages 35-43.
    8. Gao, Da & Li, Ge & Yu, Jiyu, 2022. "Does digitization improve green total factor energy efficiency? Evidence from Chinese 213 cities," Energy, Elsevier, vol. 247(C).
    9. Marek Stawowy & Adam Rosiński & Mirosław Siergiejczyk & Krzysztof Perlicki, 2021. "Quality and Reliability-Exploitation Modeling of Power Supply Systems," Energies, MDPI, vol. 14(9), pages 1-16, May.
    10. Valeriy Kuznetsov & Ewa Kardas-Cinal & Piotr Gołębiowski & Borys Liubarskyi & Magomedemin Gasanov & Ievgen Riabov & Lilia Kondratieva & Michał Opala, 2022. "Method of Selecting Energy-Efficient Parameters of an Electric Asynchronous Traction Motor for Diesel Shunting Locomotives—Case Study on the Example of a Locomotive Series ChME3 (ЧMЭ3, ČME3, ČKD S200)," Energies, MDPI, vol. 15(1), pages 1-19, January.
    11. Zhu, Qingyuan & Xu, Shuqi & Sun, Jiasen & Li, Xingchen & Zhou, Dequn, 2022. "Energy efficiency evaluation of power supply system: A data-driven approach based on shared resources," Applied Energy, Elsevier, vol. 312(C).
    12. Mirosław Siergiejczyk & Zbigniew Kasprzyk & Mariusz Rychlicki & Piotr Szmigiel, 2022. "Analysis and Assessment of Railway CCTV System Operating Reliability," Energies, MDPI, vol. 15(5), pages 1-16, February.
    13. Karolina Krzykowska-Piotrowska & Mirosław Siergiejczyk, 2022. "On the Navigation, Positioning and Wireless Communication of the Companion Robot in Outdoor Conditions," Energies, MDPI, vol. 15(14), pages 1-4, July.
    14. Janusz Szkopiński & Andrzej Kochan, 2023. "Maximization of Energy Efficiency by Synchronizing the Speed of Trains on a Moving Block System," Energies, MDPI, vol. 16(4), pages 1-26, February.
    15. Liu, Xiufeng & Nielsen, Per Sieverts, 2016. "A hybrid ICT-solution for smart meter data analytics," Energy, Elsevier, vol. 115(P3), pages 1710-1722.
    16. Anna Kwasiborska & Jacek Skorupski, 2021. "Assessment of the Method of Merging Landing Aircraft Streams in the Context of Fuel Consumption in the Airspace," Sustainability, MDPI, vol. 13(22), pages 1-18, November.
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