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改进模糊关联规则及其在电站锅炉运行优化中的应用
引用本文:刘延泉,刘欣,宋云燕,许丹莉.改进模糊关联规则及其在电站锅炉运行优化中的应用[J].华北电力大学学报,2011,38(6):60-67.
作者姓名:刘延泉  刘欣  宋云燕  许丹莉
作者单位:1. 华北电力大学控制与计算机工程学院,河北保定,071003
2. 华北电力大学河北省发电过程仿真与优化控制重点实验室,河北保定,071003
摘    要:提出了一种改进的模糊关联规则挖掘算法对电厂运行优化目标值进行确定,首先利用竞争凝聚算法决定分类数、软化划分边界并构造优化的模糊数据集,再结合某300 MW机组的历史运行数据,以供电煤耗率作为优化目标,利用频繁模式树生成算法得到的频繁项集进行关联规则挖掘,最终得到运行参数最优值,实验结果和理论分析表明挖掘结果能够正确反映...

关 键 词:运行优化目标值  模糊关联规则  竞争凝聚算法  频繁模式生成算法

Improved fuzzy association rules and its application in boiler operation optimization
LIU Yan-quan , LIU Xin , SONG Yun-yan , XU Dan-Li.Improved fuzzy association rules and its application in boiler operation optimization[J].Journal of North China Electric Power University,2011,38(6):60-67.
Authors:LIU Yan-quan  LIU Xin  SONG Yun-yan  XU Dan-Li
Abstract:This paper presented an improved fuzzy association rule mining algorithm to determine the target value in optimization of plant operation.Firstly,the competitive agglomeration algorithm was used to soften the partition border and construct the reasonable fuzzy data set.According to the history database of a 300 MW unit operating data,FP-Growth algorithm,which is proved more efficient than the Apriori one,was used to mine the optimal value of operating parameters for making the minimum supply coal consumption rate.Experimental results and theoretical analysis show that the mining results can accurately reflect the mechanism of unit operation.So the results will be effective.
Keywords:operation optimization target  fuzzy association rules competitive  agglomeration algorithm  frequent pattern growth algorithm
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