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The influence of the operating environment on manual and automated load-haul-dump machines: a fault tree analysis
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-5347-0853
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-4107-0991
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
2013 (English)In: International Journal of Mining, Reclamation and Environment, ISSN 1748-0930, E-ISSN 1748-0949, Vol. 27, no 2, p. 75-87Article in journal (Refereed) Published
Abstract [en]

The automated load-haul-dump (LHD) machines have the potential to increaseproductivity and improve safety, but there are many issues to be considered when optimising the operation of LHDs. Today’s focus on improved equipment reliability is part of the problem, and another difficult issue is the special conditions and constraints of the operating environment. For automated LHDs, the latter issue is even more important, as humans have been removed from the production area and are not close by to solve the problems. The purpose of this paper is to find the causes of LHD idle time and to study their impact on the operation of LHDs. In this study, real-time process data and maintenance data from an underground mine in Sweden have been refined and integrated. The study takes into account the complexity of the mine environment, discusses the factors to be considered when optimising and automating the operation and uses fault tree analysis (FTA) to analyse the idle time.

Place, publisher, year, edition, pages
2013. Vol. 27, no 2, p. 75-87
Keywords [en]
Civil engineering and architecture - Geoengineering and mining engineering
Keywords [sv]
Load haul dump, LHD, automation, fault tree analysis operating environment, Maintenance, Samhällsbyggnadsteknik och arkitektur - Geoteknik och gruvteknik
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-8151DOI: 10.1080/1755182X.2011.651371ISI: 000327801700002Scopus ID: 2-s2.0-84875849813Local ID: 69f03c10-1193-4958-9a72-10b46122eecaOAI: oai:DiVA.org:ltu-8151DiVA, id: diva2:981042
Note
Validerad; 2013; 20120323 (anngus)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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Gustafson, AnnaSchunnesson, HåkanGalar, DiegoKumar, Uday

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