首页> 外文会议>2014 SME annual meeting amp; exhibit (SME 2014): Leadership in uncertain times >A METHOD TO IDENTIFY THE KEY CAUSES OF DIFFERENCES IN ENERGY EFFICIENCY OF OPERATORS
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A METHOD TO IDENTIFY THE KEY CAUSES OF DIFFERENCES IN ENERGY EFFICIENCY OF OPERATORS

机译:识别运营商能源效率差异的关键原因的方法

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Draglines are dominant machines and the most electricity consumers in surface coal mines. With the growing price of energy, environmental concerns, and the high sensitivity of mine profitability to dragline productivity, any improvement in efficiency of draglines can be beneficial for mines. Research has shown that operator skills have a significant impact on energy efficiency of loading machines. This study suggests a method to identify the key parameters that lead to differences in operator energy efficiency (responsible parameters). First, correlation analysis is used to identify parameters that are con-elated to energy efficiency. Second, linear regression of a difference matrix is used to determine responsible parameters. Since this method is based on pair-wise comparison of operators, equal number of cycle is required for pairs of operators. Complete case analysis (CCA) is used to handle missing data problems. The final conclusion is made after removing the effect of random sampling and by considering all pairs of operators. Identifying responsible parameters can improve operator training programs. The suggested method is illustrated with a case study using field data.
机译:拉铲铲是占主导地位的机器,也是露天煤矿中最大的用电设备。随着能源价格的上涨,对环境的关注以及矿山盈利能力对牵引铲生产率的高度敏感性,牵引铲效率的任何提高都可能对矿山有利。研究表明,操作员技能对装载机的能效有重要影响。这项研究提出了一种识别导致操作员能效差异的关键参数(负责参数)的方法。首先,使用相关分析来确定与能效相关的参数。其次,差矩阵的线性回归用于确定负责任的参数。由于此方法基于运算符的成对比较,因此,成对的运算符需要相等数量的循环。完整案例分析(CCA)用于处理丢失的数据问题。在消除随机抽样的影响并考虑所有成对的算子之后,得出最终结论。确定负责任的参数可以改善操作员培训计划。使用现场数据的案例研究说明了建议的方法。

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