| 基于离群点挖掘的废润滑油资源化再生处理工艺参数优化算法研究 |
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| 引用本文： | 高丙朋,南新元. 基于离群点挖掘的废润滑油资源化再生处理工艺参数优化算法研究[J]. 化工自动化及仪表, 2013, 0(8): 1036-1039 |
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| 作者姓名： | 高丙朋 南新元 |
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| 作者单位： | 新疆大学电气工程学院,乌鲁木齐830049 |
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| 基金项目： | 新疆大学自然科学基金资助项目（215-61354） |
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| 摘 要： | 针对废润滑油资源化再生处理工艺过程中的工艺参数有效可靠参考值难以确定,致使废润滑油的回收率波动范围较大这一问题,以新疆某厂废润滑油资源化再生处理车间近两年的生产过程数据作为源数据,利用基于局部加权k-密度算法,去除离群点数据,得到目标数据集,并对其进行数据挖掘.经过大量的实验,获得该工艺生产参数的范围,以此为依据优化生产工艺参数,指导现场生产.
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| 关 键 词： | 废润滑油 资源化再生 离群点挖掘 局部属性熵 局部加权k-密度 |
Process Parameter Optimization Algorithm for Waste Lubrication Oil Recovery Based on Outlier Mining |
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| GAO Bing-peng,NAN Xin-yuan. Process Parameter Optimization Algorithm for Waste Lubrication Oil Recovery Based on Outlier Mining[J]. Control and Instruments In Chemical Industry, 2013, 0(8): 1036-1039 |
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| Authors: | GAO Bing-peng NAN Xin-yuan |
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| Affiliation: | ( College of Electrical Engineering, Xinjiang University, Urumqi 830049, China ) |
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| Abstract: | Considering the difficulty in determining reliable and effective process parameters in the waste lubrication oil recovery and the wide range of waste oil recovery rate,the production process data from a waste oil recovery plant were taken as the source data so that the target data set can be obtained after having outlier data removed through the locally-weighted k-density algorithm.The large number of experiments on it can work out the process parameters as required to guide the practical production. |
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| Keywords: | waste lubricating oil recovery outlier mining local attribute entropy locally-weighted k-density |
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