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Development of a Markov model for production performance optimisation: Application for semi-automatic and manual LHD machines in underground mines
Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.ORCID-id: 0000-0002-5347-0853
Mechanical Engineering, University of Alberta, Edmonton.
Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Geoteknologi.
Luleå tekniska universitet, Institutionen för samhällsbyggnad och naturresurser, Drift, underhåll och akustik.ORCID-id: 0000-0002-4107-0991
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2014 (engelsk)Inngår i: International Journal of Mining, Reclamation and Environment, ISSN 1748-0930, E-ISSN 1748-0949, Vol. 28, nr 5, s. 342-355Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

This paper compares three ways to operate a load haul dump (LHD) machine, manual operation, automatic operation (fleet operation) and semi-automatic operation, to find the best operating mode. In a fault tree analysis, different failures are classified and analysed, but the way to recover from certain states is not accounted for, which is something a Markov model can handle. The paper is based on the analysis of real data from an underground mine. A Markov model has been built for mining application and it is shown that a semi-automatic LHD has the highest probability of being in a productive state since it has the advantage of changing operating modes (manual and automatic) depending on the need and situation. Hence, the semi-automatic LHD is the best choice from an operational point of view. The paper fills a gap in the literature on manual vs. automatically operated LHDs by providing a new way of evaluating the operating mode of LHDs using Markov modelling, while considering the operating environment.

sted, utgiver, år, opplag, sider
2014. Vol. 28, nr 5, s. 342-355
HSV kategori
Forskningsprogram
Gruv- och Berganläggningsteknik; Drift och underhållsteknik
Identifikatorer
URN: urn:nbn:se:ltu:diva-3110DOI: 10.1080/17480930.2013.862026ISI: 000343814000008Scopus ID: 2-s2.0-84908499794Lokal ID: 0e504339-ede6-4d9f-a9ca-0e6de93112fdOAI: oai:DiVA.org:ltu-3110DiVA, id: diva2:975966
Merknad
Validerad; 2014; 20140815 (andbra)Tilgjengelig fra: 2016-09-29 Laget: 2016-09-29 Sist oppdatert: 2018-07-10bibliografisk kontrollert

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