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.%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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