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Monte Carlo reliability simulation of coal shearer machine
Hamedan University of Technology.
Shahrood University of Technology, Petroleum and Geophysics Department.
Shahrood University of Technology, Petroleum and Geophysics Department.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
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2013 (English)In: International Journal of Pedagogy, Innovation and New Technologies, ISSN 0973-1318, E-ISSN 2392-0092, Vol. 9, no 5, 487-494 p.Article in journal (Refereed) Published
Abstract [en]

In this paper the Kamat-Riley (K-R) event-based Monte Carlo simulation method was used for reliability analysis of longwall shearer machine. Shearer machine consists of six subsystems; water, haulage, electrical, hydraulic, cutting arms and cable systems in a series network configuration. A shearer in the Tabas coal mine was selected as case study and its all failure data were collected and used for reliability analysis of subsystems. With negligible assumption of time to repair, a flowchart was built for programming the simulation process. The Matlab mathematical programming software was used for reliability simulation process. Finally the reliability plot of longwall shearer machine was achieved and upper and lower bound reliability were calculated. The results illustrate that the reliability of shearer machine reduces to zero in a period of 100h. There is a 50% chance that the shearer will not fail for the first 12h of operation.

Place, publisher, year, edition, pages
2013. Vol. 9, no 5, 487-494 p.
Keyword [en]
Manufacturing engineering and work sciences - Manufacturing engineering
Keyword [sv]
Produktion och arbetsvetenskap - Produktionsteknik
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-7331Local ID: 5b1d31c5-3d41-412b-8460-95256933a474OAI: oai:DiVA.org:ltu-7331DiVA: diva2:980220
Note
Validerad; 2013; 20130815 (behzad)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved

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http://www.ijpe-online.com/september-2013-p03-monte-carlo-reliability-simulation-of-coal-shearer-machine.html#axzz2n9nrq1wV

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