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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
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| Department | 数字工厂研究室 |
| Conference Name | 9th International Conference on Modelling, Identification and Control, ICMIC 2017 |
| Conference Date | July 10-12, 2017 |
| Conference Place | Kunming, China |
| Source Publication | Lecture Notes in Electrical Engineering |
| Publisher | Springer Verlag |
| Publication Place | Singapore |
| 2017 | |
| Pages | 307-320 |
| Indexed By | EI |
| EI Accession number | 20181805112286 |
| Contribution Rank | 1 |
| ISSN | 1876-1100 |
| ISBN | 978-981-10-7211-6 |
| Keyword | Monitoring Multimode processes Multimode division Global–local MIC-PCA-SVDD |
| Abstract | 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. |
| Language | 英语 |
| Document Type | 会议论文 |
| Identifier | http://ir.sia.cn/handle/173321/22053 |
| Collection | 数字工厂研究室 |
| Corresponding Author | Li S(李帅) |
| Affiliation | 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 |
| Recommended Citation GB/T 7714 | 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. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| Multimode processes （370KB） | 会议论文 | 开放获取 | CC BY-NC-SA | View Application Full Text | ||
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