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Multimode processes monitoring using global–local MIC-PCA-SVDD
Li S(李帅)1,2,3; Zhou XF(周晓锋)1,2,3; Shi HB(史海波)1,3; Wang ZW(王中伟)1,3
作者部门数字工厂研究室
会议名称9th International Conference on Modelling, Identification and Control, ICMIC 2017
会议日期July 10-12, 2017
会议地点Kunming, China
会议录名称Lecture Notes in Electrical Engineering
出版者Springer Verlag
出版地Singapore
2017
页码307-320
收录类别EI
EI收录号20181805112286
产权排序1
ISSN号1876-1100
ISBN号978-981-10-7211-6
关键词Monitoring Multimode processes Multimode division Global–local MIC-PCA-SVDD
摘要A multimode processes monitoring method using global–local MIC-PCA-SVDD is presented. Our method contains the procedures of mode division stage, offline modelling stage and online monitoring stage. At mode division stage, mode division using spectral clustering and multimode processes continuous characteristic is developed. It can divide multimode processes into multiple modes without priori multimode information. At offline modelling stage, considering multimode, global similarity and local non-similarity characteristics, global–local MIC-PCA-SVDD constructs multiple local models and a global model for monitoring. Our method considers dissimilarity between different modes and similarity in multimode processes. At online monitoring stage, different radiuses and distances between testing samples and the centre of the spheres using SVDD models are obtained for multimode processes monitoring. The advantages of SVDD in dealing with non-Gaussian and nonlinear data are used in our method. SVDD has no distribution assumption in which multimode processes data can be mapped to the high-dimensional feature space to construct multiple hyperspheres for global and local monitoring. The experiments of the penicillin fermentation processes are used to validate the feasibility and availability.
语种英语
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/22053
专题数字工厂研究室
通讯作者Li S(李帅)
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China;
2.University of Chinese Academy of Sciences, Beijing 100049, China;
3.Key Laboratory of Network Control System, Chinese Academy of Sciences, Shenyang 110016, China
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Li S(李帅),Zhou XF(周晓锋),Shi HB(史海波),等. Multimode processes monitoring using global–local MIC-PCA-SVDD[C]. Singapore:Springer Verlag,2017:307-320.
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