Analysis of the Impact of Unscheduled Downtimes on Their Availability in Machine Operations

• Autorzy: Jarosław Brodny
• Języki publikacji: EN

Abstrakty

EN

Unscheduled downtimes in machine operation are one of the main reasons behind their low availability. Such downtimes are caused by miscellaneous factors and remain difficult to identify in a number of cases. This particularly refers to enterprises that conduct their activities in changing external conditions, such as hard coal mines, where exploitation is carried out in extremely complicated, changeable and dangerous conditions. The process of coal production makes use of various machines that must be adapted to these conditions. The specificity of the working environment makes it necessary for these machines to exhibit high reliability, readiness and efficiency. These features, in turn, make the cost of the machines very high. It is therefore reasonable to make the best use of their capabilities, which translates into the effectiveness of the entire production process. The article concentrates on determining the availability of these machines. It has been assumed that availability is one of the fundamental parameters that define the effective utilisation of machines. The tests were conducted for a longwall shearer as well as an armoured face conveyor and a main haulage conveyor in one of the hard coal mines in Poland. Industrial automation systems were used to determine unscheduled downtimes in the operation of these machines, as well as their time structure and causes. The results obtained indicate that the number of unscheduled downtimes represents a serious problem in mining exploitation. (original abstract)

Słowa kluczowe

EN

Mining sector; Machinery and equipment

PL

Górnictwo; Maszyny i urządzenia

• Czasopismo: Multidisciplinary Aspects of Production Engineering
• Rocznik: 2018
• Tom: 1
• Strony: 145--151

Twórcy

autor

Jarosław Brodny

• Silesian University of Technology, Poland

Bibliografia

• Brodny, J. and Tutak, M. (2016). Determination of the zone endangered by methane explosion in goaf with caving of operating longwalls. SGEM2016 Conference Proceedings, Book1 Vol. 2, 299-306 pp. DOI: 10.5593/SGEM2016/B12/S03.039.
• Brodny, J., Tutak, M. and Michalak, M. (2017). The use of the TGŚP module as a database to identify breaks in the work of mining machinery. BDAS 2017, Beyond Databases, Architectures and Structures. Towards Efficient Solutions for Data Analysis and Knowledge Representation. pp.441-452. DOI: 10.1007/978-3-319-58274-0_35.
• Brzychczy, E. (2007). Modelling and optimisation method of mining works in hard coal mine with an application of stochastic networks. Part 4. Optimization procedurę. Mineral Resources Management Volume: 23 Issue: 1 Pages: 121-128.
• Brzychczy, E. (2011). The planning optimization system for underground hard coal mines. Archives Of Mining Sciences, Volume: 56 Issue: 2 Pages: 161-178.
• Jonek-Kowalska, I. (2017a). Market risk in the hard coal mining industry in Poland in the context of the mining production planning. Proceedings of the Second International Conference on Economic and Business Management. FEBM 2017, Eds. Piman Limpaphayom, Gordon Huang. Advances in Economics, Business and Management Research, vol. 33 Atlantis Press, p. 770-776.
• Jonek-Kowalska, I. and Turek, M. (2017b). Dependence of total production costs on production and infrastructure parameters in the Polish hard coal mining industry. Energies vol. 10 iss. 10, art. no. 1480 pp. 1-22,
• Palka, D. (2017). The role and importance of training for improving the safety and awareness of the technical staff in the mining plant. CBU International Conference Proceedings 2017: Innovations in Science and Education, Vol. 5, Prague 2017, p. 1195-1198. DOI: 10.12955/cbup.v5.1095.
• Palka, D., Brodny, J. and Stecula, K. (2017). Modern means of production and the staff awareness of the technical in the plant of the mining industry. CBU International Conference Proceedings 2017: Innovations in Science and Education, Vol. 5, Prague 2017, p. 1190-1194. DOI: 10.12955/cbup.v5.1094.
• Secuła, K., Tutak, M. and Brodny, J. (2017b). Application of chosen elements from Japanese production and maintenance management philosophies in polish coal mines. SGEM 2017. Vol. 17, issue 13. pp. 93-100. DOI: doi.org/10.5593/sgem2017/13.
• Stecuła, K., Brodny, J. and Palka, D. (2017a). Analysis of reasons for unplanned stoppages of ma-chines in the example of the longwall shearer. CBU International Conference Proceedings 2017: Innovations in Science and Education, Vol. 5, Prague 2017, p. 1210-1214. DOI: 10.12955/cbup.v5.1098
• Stecuła, K., Brodny, J. and Tutak, M. (2018). Use of intelligent informatics module for registration and assessment of causes of breaks in selected mining machines. Intelligent Systems in Production Engineering and Maintenance ISPEM 2017, Advances in Intelligent Systems and Computing 637, pp.74-84.DOI 10.1007/978-3-319-64465-3_8.
• Tutak, M. (2017a). Analysis of varying levels of methane emissions from coal mines in Poland. SGEM2017 Vienna GREEN Conference Proceedings, Vol. 17, Issue 43, 301-308 pp; DOI: 10.5593/sgem2017H/43/S19.038.
• Tutak, M. (2017b). Assessment of hydrodynamics of gas flow through the porous rock structures. 17th International Multidisciplinary Scientific GeoConference SGEM 2017, SGEM2017 Vienna GREEN Conference Proceedings, Vol. 17, Issue 15, 53-60 pp; DOI: 10.5593/sgem2017H/15/S06.007.
• Tutak, M. and Brodny, J. (2017b). Determination of Particular Endogenous Fires Hazard Zones in Goaf with Caving of Longwall. IOP Conf. Series: Earth and Environmental Science 95, 042026 doi:10.1088/1755-1315/95/4/042026.

Identyfikatory

DOI

10.2478/mape-2018-0019