Statistical approach to determination of overhaul and maintenance cost of loading equipment in surface mining

查看全文 作　　者：Lashgari [1]Ali;Sayadi Ahmad [2]Reza

机构地区：[1]Department of Mining Engineering, West Virginia University;[2]Department of Mining, Faculty of Engineering, Tarbiat Modares University

出　　处：《International Journal of Mining Science and Technology》索引2013年第23卷第3期,共6页

摘　　要：The purpose of this research was to develop a new approach in determination of overhaul and maintenance cost of loading equipment in surface mining. Two statistical models including univariate exponential regression (UER) and multivariate linear regression (MLR) were used in this study. Loading equipment parameters such as bucket capacity, machine weight, engine power, boom length, digging depth, and dumping height were considered as variables. The results obtained by models and mean absolute error rate indicate that these models can be applied as the useful tool in determination of overhaul and maintenance cost of loading equipment. The results of this study can be used by the decision-makers for the specific surface mining operations. 关键词：Overhaul and maintenance cost Loading equipment Surface mining Univariate exponential regression Multivariate linear regression Principal component analysis

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Statistical approach to determination of overhaul and maintenance cost of loading equipment in surface mining

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