铜闪速熔炼过程中操作模式分级快速匹配策略研究
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摘要
针对铜闪速熔炼过程中操作模式库庞大导致最优操作模式搜索速度慢的问题,提出了基于柯西不等式的操作模式分级快速匹配策略。先利用主元分析法设置属性权重,再采用柯西不等式进行相似性的初级匹配,得到相似操作模式集,次级匹配只需要在相似操作模式集中进行,降低计算的繁琐性,提高了匹配效率。最后通过UCI数据与实际生产数据结果分析验证该方法的有效性。
Considering the rawback of low speed of pattern matching caused by huge pattern case for copper flash smelting process, Cauchy-Schwarz inequality based operational pattern two-grade fast matching strategy is developed. Using PCA, the attributes weights are set firstly, then the Cauchy-Schwarz inequality is introduced to the similarity criteria of first matching process, and extracts the similar operational patterns. The secondary matching process is completed only in the similar operational patterns, it can be used to reduce the computational complexity and accelerate the efficiency. The application results of UCI data and the actual data are given to verify the effectiveness.
Considering the rawback of low speed of pattern matching caused by huge pattern case for copper flash smelting process, Cauchy-Schwarz inequality based operational pattern two-grade fast matching strategy is developed. Using PCA, the attributes weights are set firstly, then the Cauchy-Schwarz inequality is introduced to the similarity criteria of first matching process, and extracts the similar operational patterns. The secondary matching process is completed only in the similar operational patterns, it can be used to reduce the computational complexity and accelerate the efficiency. The application results of UCI data and the actual data are given to verify the effectiveness.
引文
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[2]MARTINEZ A M,KAK A C.PCA versus IDA[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2001,23(2):228-233.
[3]温冰清.基于主元分析的故障检测与诊断研究[D].南京:南京师范大学,2011.
[4]张忠平,宋少英,宋晓辉.基于PCA及属性距离和的孤立点检测算法[J].计算机工程与应用,2009,45(17):139-141.
[5]CORTEZ P,CERDEIRA A,ALMEIDA F,et al.Modeling wine preferences by data mining from physicochemical properties[J].Decision Support Systems,2009,47(4):547-553.
[6]KANO M,NAKAGAWA Y.Data-based process monitoring,process control and quality improvement:Recent developments and applications in steel industry[J].Computer and Chemical Engineering,2008,32(1/2):12-24.
[7]刘强,陈亚秋.一种间歇过程异常数据剔除的主元分析方法[J].计算机工程与应用,2003,39(29):222-230.
[8]胡志坤,桂卫华,阳春华等.铜转炉吹炼过程熔剂加入量的模糊操作模式挖掘方法[J].控制与决策,2010,25(11):1689-1692.
[9]TANG M Z,YANG C H,GUI W H,et al.Data-based process fault detection using active cost-sensitive learning[C].The 2nd International Conference on Informa tion Science and Engineering.Dec 4th-6th,2010,Hangzhou,China,1110-1113.
[10]唐明珠,阳春华,桂卫华等.代价敏感概率神经网络及其在故障诊断中的应用[J].控制与决策,2010,25(7):1074-7078.
[11]唐明珠,王岳斌,阳春华.一种改进的支持向量数据描述故障诊断方法[J].控制与决策,2011,26(7):967-972.