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Michalina J. Kotyla, Aleksandra A Banasiewicz, Pavlo Krot, Paweł Śliwiński*, Radosław Zimroz
Ensemble methods applied for NOx prediction in deep underground mine. W: Interdisciplinary topics in mining, geology and geomatics : XXIII Conference of PhD Students and Young Scientists : CPSYS : book of abstracts, Wrocław, June 13-15, 2023 / [ed. Jan Blachowski]. Wrocław : Wrocław University of Science and Technology Publishing House, (WUST Publishing House), 2023. s. 83-83.
Priorytetowe Obszary Badawcze: 3
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| 238942 | 85149797618 |
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| 241693 | |
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| 2022 | |
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| 235558 | 85132665513 |
Pavlo Krot, Radosław Zimroz, Paweł Śliwiński*, Norbert Gomolla*
Safe operation of underground mining vehicles based on cyclic fatigue monitoring of powertrains. W: Structural integrity and fatigue failure analysis : experimental, theoretical and numerical approaches / red. Grzegorz Lesiuk [i in.]. Cham : Springer, cop. 2022. s. 283-292. (Structural Integrity, ISSN 2522-5618; vol. 25)
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| 234355 | 85122264830 |
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| 233997 | 85121480705 |
Bartłomiej Ziętek, Jacek Wodecki, Anna E Michalak, Paweł Śliwiński*
Drill bit state-oriented drilling process classification with time-series data for wheeled drilling rigs. W: XXI Conference of PhD Students and Young Scientists (CPSYS 2021), 23-25 June 2021, (virtual), Wroclaw, Poland. [Bristol] : IOP Publishing, 2021. art. 012010, s. 1-8.
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| 232530 | 85114515599 |
| 2021 | |
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Pavlo Krot, Radosław Zimroz, Paweł Śliwiński*, Norbert Gomolla*
Safe operation of underground mining vehicles based on cyclic fatigue monitoring of powertrains. W: Proceedings of the First Virtual Conference on Mechanical Fatigue, VCMF 2020, 9-11 September 2020 : book of abstracs / eds. José António Fonseca de Oliveira Correia [i in.]. Porto : Faculdade de Engenharia da Universidade do Porto, cop. 2020. s. 55-56.
| 2020 | |
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| 229496 | 85105117039 |
Jacek Wodecki, Mateusz Góralczyk, Pavlo Krot, Bartłomiej Ziętek, Jarosław J Szrek, Magdalena Worsa-Kozak, Radosław Zimroz, Paweł Śliwiński*, Andrzej Czajkowski*
Process monitoring in heavy duty drilling rigs - data acquisition system and cycle identification algorithms. Energies 2020 vol. 13, nr 24, art. 6748, s. 1-21.
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| 227342 | 85087922680 |
| 2020 | |
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