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Crack detection methods and ranking for mining mill machinery
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-7474-2723
2009 (English)In: 22nd International Congress on Condition Monitoring and Diagnostic Engineering Management: COMADEM 2009 ; June 9 - 11, 2009, San Sebastian, Spain, Miramar Palace / [ed] Aitor Arnaiz, Eibar: Fundaci n Tekniker , 2009, p. 313-321Conference paper, Published paper (Refereed)
Abstract [en]

The mining industry is severely exposed to various effects of the dynamic global business scenario today. The main issue for the mining industry is to maximize the availability of its machinery. Fatigue cracking in rotating mill machines is one of many critical factors in the context of function, safety, reliability and increased maintenance cost due to related unpredictable mill failures. There are several reasons for the appearance of cracks in mills. Several detection methods and technologies are available today, which are crack specific, depending on size and location. It is essential to select an appropriate crack detection method to fulfil the needs of the industries and the operational conditions, because each method has its own particular advantages and disadvantages. The main aim of this paper is to highlight the scopes and limitations of these methods. In this paper also the Analytical Hierarchical Process (AHP) is applied to determine the rank or unified measure for the selected crack detection methods. The aim of this analysis is to assist maintenance personnel in selecting the appropriate crack detection device.

Place, publisher, year, edition, pages
Eibar: Fundaci n Tekniker , 2009. p. 313-321
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-29591Local ID: 31cf3dc0-bcc8-11de-b769-000ea68e967bISBN: 978-84-932064-6-8 (print)OAI: oai:DiVA.org:ltu-29591DiVA, id: diva2:1002815
Conference
International Congress on Condition Monitoring and Diagnostic Engineering Management : 09/06/2009 - 11/06/2009
Note
Godkänd; 2009; 20091019 (ysko)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

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Nordström, JakobParida, AdityaDandotiya, RajivLundberg, Jan
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CiteExportLink to record
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  • apa
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