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作 者:覃力 唐卫清[2,3] 陶清华[1,2] 闫全甲 李士才 QIN Li;TANG Weiqing;TAO Qinghua;YAN Quanjia;LI Shicai(School of Computer Science and Technology,University of Chinese Academy of Sciences,Beijing 100049,China;Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,China;Industrial Intelligent Center,Luoyang Institute of Information Technology Industries,Luoyang 471000,China;Technology R&D Department,Beijing Zhongke Fulong Computer Technology Co.Ltd.,Beijing 100085,China)
机构地区:[1]中国科学院大学计算机科学与技术学院,北京100049 [2]中国科学院计算技术研究所,北京100190 [3]洛阳中科信息产业研究院工业智能中心,河南洛阳471000 [4]北京中科辅龙计算机技术股份有限公司技术研发部,北京100085
出 处:《计算机集成制造系统》2020年第3期732-746,共15页Computer Integrated Manufacturing Systems
摘 要:为了对流程工厂设备集之间的相似性进行度量,提出一种基于高斯混合模型的相似度计算方法。该方法从设备数量和设备构成两方面进行计算,再将二者结合起来得到统一的相似度指标。对于设备数量,利用Jaccard系数思想进行计算;对于设备构成,先通过分类树将设备集映射成二维坐标空间中的点集,再用高斯混合模型描述点集分布规律,最后基于高斯混合模型间的JS(Jensen-Shannon)散度计算相似度。通过流程工厂专家的评级打分及对设备工艺作用的分析,验证了计算结果的合理性和有效性。To measure the similarity between process plant equipment collections,a similarity calculation method based on Gaussian mixture models was proposed.This method calculated from two aspects which were the amount of equipment in collection and the constitution of equipment collection,then the two factors were integrated to achieve an integrate similar indicator.For the amount of equipment,it was calculated by Jaccard coefficient thought;For the constitution of collection,firstly the collection was mapped to be points set in two dimensional coordinate space with classification tree,then Gaussian mixture models were used to describe the regularities of points distribution,finally the similarity was calculated with the JS divergence of Gaussian mixture models.According to the grading scores and the analysis of equipment process function from process plant professionals,the rationality and effectivity of the calculations were verified.
关 键 词:相似度 高斯混合模型 JS散度 流程工厂 设备集
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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