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一种新的间歇过程多模式辨识方法

DOI: 10.3969/j.issn.1005-3026.2015.03.006, PP. 327-331

Keywords: 多模式划分,间歇过程,主元分析,主角度,子空间相似度

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Abstract:

针对间歇过程的多模式划分问题,提出了一种基于主角度相似度比较的多模式划分新方法,有效克服了噪声或冗余数据对模式划分的影响.该方法的基本思想是利用PCA对间歇数据按时间轴进行主成分建模,然后利用主角度这一用于比较子空间相似度的方法进行主元模型相似度比较,从而对各个模型和过渡过程进行有效辨识和划分;在此基础上,对上述方法进行了深入分析,改进并完善了主角度相似度划分标准,使这一方法更趋完善.仿真结果检验了所提方法的有效性.

References

[1]  Camacho J,Pico J.Multi-phase principal component analysis for batch processes modeling[J].Chemometrics and Intelligent Laboratory Systems,2006,81(2):127-136.
[2]  Yu J,Qin S J.Multiway Gaussian mixture model based multiphase batch process monitoring[J].Industrial Engineering Chemical Research,2011,48(18):8585-8594.
[3]  Lu N Y,Gao F R,Wang F L.A sub-PCA modeling and on-line monitoring strategy for batch processes[J].American Institute of Chemical Engineers Journal,2004,50(1):255-259.
[4]  Zhao C H,Wang F L,Lu N Y,et al.Stage-based soft-transition multiple PCA modeling and on-line monitoring strategy for batch processes[J].Journal of Process Control,2007,17(9):728-741.
[5]  齐咏生,王普,高学金.一种新的多阶段间歇过程在线监控策略[J].仪器仪表学报,2011,32(6):1290-1297.(Qi Yong-sheng,Wang Pu,Gao Xue-jin.Novel online monitoring strategy for multiphase batch processes[J].Chinese Journal of Scientific Instrument,2011,32(6):1290-1297.)
[6]  Zhao C H,Gao F R,Sun Y X.Between-phase calibration modeling and transition analysis for phase-based quality interpretation and prediction [J].AIChE Journal,2013,59(1):108-119.
[7]  陆宁云,王福利,高福荣.间歇过程的统计建模与在线监测[J].自动化学报,2006,32(3):400-410.(Lu Ning-yun,Wang Fu-li,Gao Fu-rong.Statistical modeling and online monitoring for batch processes[J].Acta Automatica Sinica,2006,32(3):400-410.)
[8]  Choi S W,Morris J.Dynamic model-based batch process monitoring[J].Chemical Engineering Science,2010,63(3):622-636.
[9]  Zhao C H,Sun Y X.Step-wise sequential phase partition (SSPP) algorithm based statistical modeling and online process monitoring[J].Chemometrics and Intelligent Laboratory Systems,2013,125:109-120.

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