Failure rate of longwall system machines by the type of failure – case study

• Autorzy: Bołoz Łukasz , Rak Zbigniew , Stasica Jerzy

Identyfikatory

DOI

10.24425/ams.2023.146862

• Języki publikacji: EN

Abstrakty

EN

Deposits in the form of seams are most often exploited by means of mechanised longwall systems. Hard coal seams of various thicknesses are mined by plowing and shearer complexes. Both solutions are commonly used in Polish and global mining. Mechanised longwall systems consist of many machines, the most important of which are the mining machine, powered support, armoured face conveyor and beam stage loader. The article is concerned with the failure frequency of longwalls equipped with plow and shearer longwall systems in one of the Polish hard coal mines. The analysis covers a period of 13 months of the mine’s operation, during which 2,589 failures were recorded. It was carried out for all longwalls exploited in that period, i.e. five plow and five shearer ones, operating in six different sections. In the analysed period, these longwalls worked for an average of 150 days, and a total of 1,484 days. The analysis takes into account the basic division of failures used in the mining branch, i.e. mining, electrical and mechanical failures. The plow and shearer complexes were analysed separately, taking into account the failure category for all devices. A comprehensive analysis of the failure rates has revealed that the failure rate of longwalls equipped with plow complexes is noticeably higher than that of shearer ones. Moreover, it has been demonstrated that mining failures are prevalent in the analysis of both the number of failures and the average duration of failures.

Słowa kluczowe

EN

machine failure rate; plow complexes; shearer complexes; effective working time

PL

kombajn; pług; awaryjność maszyn

• Wydawca: Instytut Mechaniki Górotworu PAN
• Czasopismo: Archives of Mining Sciences
• Rocznik: 2023
• Tom: Vol. 68, no. 3
• Strony: 457--473
• Opis fizyczny: Bibliogr. 27 poz., fot., tab., wykr.

Twórcy

autor

Bołoz Łukasz

• AGH University of Krakow, Faculty of Mechanical Engineering and Robotics, Department of Machinery Engineering and Transport, Al. Mickiewicza 30, 30-059 Krakow, Poland

• https://orcid.org/0000-0002-7139-0558

autor

Rak Zbigniew

• AGH University of Krakow, Faculty of Civil Engineering and Resource Management, Department of Mining Engineering and Occupational Safety, Al. Mickiewicza 30, 30-059 Krakow, Poland

• https://orcid.org/0000-0002-8617-6511

autor

Stasica Jerzy

• AGH University of Krakow, Faculty of Civil Engineering and Resource Management, Department of Mining Engineering and Occupational Safety, Al. Mickiewicza 30, 30-059 Krakow, Poland

• https://orcid.org/0000-0002-7790-3342

Bibliografia

• [1] Ł. Bołoz, Longwall shearers for exploiting thin coal seams as well as thin and highly inclined coal seams, Mining – Informatics. Automation and Electrical Engineering 534 (2), 59-65 (2018). DOI: http://dx.doi.org/10.7494/miag.2018.2.534.59.
• [2] Ł. Bołoz, L. Castañeda, Computer-aided support for the rapid creation of parametric models of milling units for longwall shearers. Management Systems in Production Engineering 26 (4), 193-199 (2018). DOI: https://doi.org/10.1515/mspe-2018-0031.
• [3] Ł. Bołoz, Interpretation of the results of mechanical rock properties testing with respect to mining methods. Acta Montan. Slovaca 25 (1), 81-93 (2020). DOI: https://doi.org/10.46544/AMS.v25i1.8.
• [4] Ł. Bołoz, Model tests of longwall shearer with string feed system. Arch. Min. Sci. 63 (1), 61-74 (2018). DOI: https://doi.org/10.24425/118885.
• [5] Ł. Bołoz, Unique project of single-cutting head longwall shearer used for thin coal seams exploitation. Arch. Min. Sci. 58 (4), 1057-1070 (2013). DOI: https://doi.org/10.2478/amsc-2013-0073.
• [6] Ł. Bołoz, W. Biały, Automation and Robotization of Underground Mining in Poland. Appl. Sci. 10 (20), 1-14 (2020). DOI: https://doi.org/10.3390/app10207221.
• [7] Ł. Bołoz, A. Kozłowski, Methodology for Assessing the Stability of Drilling Rigs Based on Analytical Tests. Energies 14 (24), 1-29 (2021). DOI: https://doi.org/10.3390/en14248588.
• [8] Ł. Jedliński, A. Syta, J. Gajewski, J. Jonak, Nonlinear analysis of cylindrical gear dynamics under varying tooth breakage. Measurement 190, 1-13 (2022). DOI: https://doi.org/10.1016/j.measurement.2022.110721.
• [9] K. Kotwica, G. Stopka, M. Kalita, D. Bałaga, M. Siegmund, Impact of Geometry of Toothed Segments of the Innovative KOMTRACK Longwall Shearer Haulage System on Load and Slip during the Travel of a Track Wheel. Energies 14 (9), 1-25 (2021). DOI: https://doi.org/10.3390/en14092720.
• [10] K. Kotwica, P. Małkowski, Methods of Mechanical Mining of Compact-Rock – A Comparison of Efficiency and Energy Consumption. Energies 12 (18), 1-25 (2019). DOI: https://doi.org/10.3390/en12183562.
• [11] A. Kozłowski, Ł. Bołoz, Design and Research on Power Systems and Algorithms for Controlling Electric Underground Mining Machines Powered by Batteries. Energies 14 (13), 1-21 (2021). DOI: https://doi.org/10.3390/en14134060.
• [12] P. Małkowski, Ł. Ostrowski, J. Stasica, Modeling of Floor Heave in Underground Roadways in Dry and Waterlogged Conditions. Energies 15 (12), 1-27 (2022). DOI: https://doi.org/10.3390/en15124340.
• [13] Z. Rak, J. Stasica, Z. Burtan, D. Chlebowski, Technical Aspects of Mining Rate Improvement in Steeply Inclined Coal Seams: A Case Study. Resources 9 (12), 1-16 (2020).
• [14] D. Szurgacz, K. Trzop, J. Gil, S. Zhironkin, J. Pokorný, H. Gondek, Numerical Study for Determining the Strength Limits of a Powered Longwall Support. Processes 10 (3), 1-17 (2022). DOI: https://doi.org/10.3390/pr10030527.
• [15] W. Dziurzyński, A. Krach, T. Pałka, Shearer Control Algorithm and Identification of Control Parameters. Arch. Min. Sci. 63 (3), 537-552 (2018). DOI: https://doi.org/10.24425/123673.
• [16] P. Sobota, Comparison of Conventional Sprocket Drum and Sprocket Drum with Modified Design. Arch. Min. Sci. 61 (3), 509-522 (2016). DOI: https://doi.org/10.1515/amsc-2016-003.
• [17] K. Antosz, D. Stadnicka, Evaluation measures of machine operation effectiveness in large enterprises: study results. Maintenance and Reliability 17 (1), 107-117 (2015). DOI: https://doi.org/10.17531/ein.2015.1.15.
• [18] J. Brodny, M. Tutak, Applying Sensor-Based Information Systems to Identify Unplanned Downtime in Mining Machinery Operation. Sensors 22 (6), 1-18 (2022). DOI: https://doi.org/10.3390/s22062127.
• [19] R. Król, R. Zimroz, L. Stolarczyk, Failure analysis of hydraulic systems used in mining machines operating in copper ore mine KGHM Polska Miedz S.A. Mining Science 128 (36), 127-139 (2009).
• [20] A. Paithankar, S. Chatterjee, Forecasting time-to-failure of machine using hybrid Neuro-genetic algorithm – a case study in mining machinery. International Journal Of Mining Reclamation And Environment 32 (3), 182-195 (2018). DOI: https://doi.org/10.1080/17480930.2016.1262499.
• [21] B. Skotnicka-Zasadzien, W. Biały, An analysis of possibilities to use a pareto chart for evaluating mining machines’ failure frequency. Maintenance And Reliability 3 (51), 51-55 (2011).
• [22] M. Zasadzień, Using the Pareto diagram and FMEA (Failure Mode and Effects Analysis) to identify key defects in a product. Management Systems in Production Engineering 4 (16), 153-156 (2014). DOI: https://doi.org/10.12914/MSPE-02-04-2014.
• [23] M. Zasadzien, K. Midor, Innovative application of quality management tools in a hard coal mine, Science and technologies in geology, exploration and mining, SGEM 2015, vol III, 415-422 (2015).
• [24] X. Feng, F. Xue, X. Feng, T. Zhao, Failure Characteristics of W Strap in Coal Mine Support. Arch. Min. Sci. 67(2), 289-302 (2022). DOI: https://doi.org/10.24425/ams.2022.141459.
• [25] P. Małkowski, Ł. Ostrowski, Convergence monitoring as a basis for numerical analysis of changes of rock-mass quality and Hoek-Brown failure criterion parameters due to longwall excavation. Arch. Min. Sci. 64 (1), 93-118 (2019). DOI: https://doi.org/10.24425/ams.2019.126274.
• [26] P. Nguyen, V. Minh, S. Rajwa, M. Płonka, W. Stachura, Geomechanical Assessments of Longwall Working Stability – A Case Study. Arch. Min. Sci. 67 (2), 333-354 (2022). DOI: https://doi.org/10.24425/ams.2022.141462.
• [27] W. Biały, Application of Quality Management Tools for Evaluating the Failure Frequency of Cutter-Loader and Plough Mining Systems. Arch. Min. Sci. 62 (2), 243-252 (2017). DOI: https://doi.org/10.1515/amsc-2017-001.

Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024)