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Framtida diagnos och underhåll av tunnelborrig vid Bolidens gruvor: Studie utav optimal service
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
2014 (Swedish)Independent thesis Basic level (university diploma), 180 HE creditsStudent thesisAlternative title
Future diagnosis and maintenance of drillrig at Boliden (English)
Abstract [en]

In Sweden, Boliden AB is strongly associated with the mining industry. The company was founded in 1924 and produce metals like zinc, lead, gold and silver. In Kristineberg Boliden AB has two Atlas Copco machines and they have software for saving data from them into the Atlas Copco system ProMine. In ProMine all the data on the machines are saved. There is only a small number of data and from a limited period of time. Atlas Copco does changes in the software occastionally and there is proof of this in the data they delivered. In the Atlas Copco database, the log parameters and parameters of specific events. There is another system that has supporting the process of fetching data to be used in this project. Maximo is the name of a system that keeps track of all the investments Boliden has done. The program is an IBM product and Boliden been using this software since 2009. From Maximo, the service schedule over both machines were extracted as well as the instructions for each service. The instruction is called FU-mall and is for the preventive service. Data were sorted and categorized using a Grounded Theory method. The method is applied to the data and as we limit the data and only look at the important data a theory slowly are discovered regarding the relations data/technical faults. When the data is sorted different categories are found for different faults in the data. All which have its own properties. The difference between Grounded Theory and other theoretical methods is using this method, theories are generated from data and consequently, theory is not used to investigate the data. This makes this method applicably to a wide variety of data. In this specific area some boundaries were used such as time, date, parameters and some event were sorted out because of the lucidness of the data. A statistic study of the number of errors was done where the different categories of faults were sorted and a diagram was presented. It provided important knowledge of were the most of the errors are made and how these errors, easiest can be minimized. The results from this study give insight about the service-data from the machines and data systems that Boliden are currently using and how they should be using ProMine and Maximo. There were never enough data for the theoretical saturation too be obtained. The conclusions show that Boliden today do not have a proper amount of data too spot the active errors that occurs. Nevertheless, the passive errors are much easier to observe and there is at least one passive time counter that is used today. An active error includes the warnings that do not occur at fixed intervals and the passive errors are mainly time counters that count engine hours and drill time.

Place, publisher, year, edition, pages
, MA, 1412
Keyword [sv]
service boliden
National Category
Mechanical Engineering
URN: urn:nbn:se:umu:diva-89813OAI: diva2:724258
External cooperation
Boliden AB
Educational program
Bachelor of Science Engineering in Mechanical Engineering
Available from: 2014-06-12 Created: 2014-06-12 Last updated: 2014-06-12Bibliographically approved

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