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Maintainability measure based on operating environment, a case study: Sungun copper mine
School of Mining, Petroleum & Geophysics Engineering, Shahrood University of Technology, Shahrood, Iran.
School of Mining, Petroleum & Geophysics Engineering, Shahrood University of Technology, Shahrood, Iran.
School of Mining, Petroleum & Geophysics Engineering, Shahrood University of Technology, Shahrood, Iran.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0003-1377-8180
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2017 (English)In: Journal of Mining and Environment, ISSN 2251-8592, Vol. 8, no 3, p. 511-521Article in journal (Refereed) Published
Abstract [en]

The life cycle cost of a system is influenced by its maintainability. Maintainability is a design parameter, whose operational conditions can affect it significantly. Hence, the effects of these operational conditions should be quantified early in the design phase. The proportional repair model (PRM), which is developed based on the proportional hazard model (PHM), can be used to analyze maintainability considering the effects of the operational conditions. In PRM, the effects of the operational conditions are considered to be time-independent. However, this assumption may not be valid for some cases. The aim of this paper is to present an approach for prediction of the maintainability performance of the mining facilities considering the time-dependent influencing factors. The stratified Cox regression method (SCRM) is used to determine maintainability in the presence of time-dependent covariates for fleet vehicles operating in Sungun Copper Mine, Iran.

Place, publisher, year, edition, pages
Shahrood University of Technology , 2017. Vol. 8, no 3, p. 511-521
Keywords [en]
Maintainability, Proportional Repair Model (PRM), Stratified Cox Regression Method (SCRM), Environmental Conditions (Covariates), Sungun Copper Mine
National Category
Other Civil Engineering
Research subject
Operation and Maintenance Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-97147DOI: 10.22044/jme.2016.657OAI: oai:DiVA.org:ltu-97147DiVA, id: diva2:1756772
Note

Godkänd;2023;Nivå 0;2023-05-15 (hanlid);

Available from: 2023-05-15 Created: 2023-05-15 Last updated: 2023-05-15Bibliographically approved

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Ghodrati, Behzad

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