Monitoring and Quality Prediction of CPLS Batch Process Based on Kernel Entropy Projection

doi:10.3969/j.issn.1003-9015.2018.05.026

	Monitoring and Quality Prediction of CPLS Batch Process Based on Kernel Entropy Projection
	Zhao, Xiao-Qiang 1,2,3; Zhou, Wen-Wei 2,3; Hui, Yong-Yong 2,3
刊名	Gao Xiao Hua Xue Gong Cheng Xue Bao/Journal of Chemical Engineering of Chinese Universities
	2018-10-01
卷号	32 期号:5 页码:1186-1193
关键词	Forecasting Gaussian distribution Partial discharges Batch process Gaussian Mixture Model Multimodes Penicillin fermentation process Principal Components Projection to latent structures Quality prediction Weight coefficients
ISSN号	10039015
DOI	10.3969/j.issn.1003-9015.2018.05.026
英文摘要	A "multi-way Gaussian mixture model-concurrent kernel entropy projection to latent structures" (MGMM-CKEPLS) algorithm was proposed to solve problems of nonlinearity, multimode and quality prediction of batch process. Low-dimension nonlinear data was first projected into high-dimensional kernel feature space by kernel entropy projection. Principal components were obtained by the size of Renyi entropy contribution, which can reduce principal component numbers and overcome the problem of computational complexity of traditional kernel methods. Data of each mode was then obtained by GMM, and CPLS models were established for different modes, which was more consistent with actual batch processes by considering the difference between each process. Finally, unified monitoring statistics were integrated to achieve online monitoring and quality prediction by modal weight coefficients. The model was verified in penicillin fermentation process and the results show that the proposed algorithm has better online monitoring effectiveness and higher accuracy in quality prediction than MKPLS algorithm. © 2018, Editorial Board of "Journal of Chemical Engineering of Chinese Universities". All right reserved.
语种	中文
出版者	Zhejiang University
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/114525]
专题	电气工程与信息工程学院
作者单位	1.National Experimental Teaching Center of Electrical and Control Engineering, Lanzhou University of Technology, Lanzhou; 730050, China 2.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou; 730050, China; 3.Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou; 730050, China;
推荐引用方式 GB/T 7714	Zhao, Xiao-Qiang,Zhou, Wen-Wei,Hui, Yong-Yong. Monitoring and Quality Prediction of CPLS Batch Process Based on Kernel Entropy Projection[J]. Gao Xiao Hua Xue Gong Cheng Xue Bao/Journal of Chemical Engineering of Chinese Universities,2018,32(5):1186-1193.
APA	Zhao, Xiao-Qiang,Zhou, Wen-Wei,&Hui, Yong-Yong.(2018).Monitoring and Quality Prediction of CPLS Batch Process Based on Kernel Entropy Projection.Gao Xiao Hua Xue Gong Cheng Xue Bao/Journal of Chemical Engineering of Chinese Universities,32(5),1186-1193.
MLA	Zhao, Xiao-Qiang,et al."Monitoring and Quality Prediction of CPLS Batch Process Based on Kernel Entropy Projection".Gao Xiao Hua Xue Gong Cheng Xue Bao/Journal of Chemical Engineering of Chinese Universities 32.5(2018):1186-1193.