Multimode processes monitoring using global–local MIC-PCA-SVDD
文献类型：会议论文
| 作者 | Li S(李帅); Wang ZW(王中伟); Shi HB(史海波); Zhou XF(周晓锋); Liu Y(刘阳) ; Yu HB(于海斌); Ceng P(曾鹏); Li SC(李世超); Tong X(佟星)
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| 出版日期 | 2017 |
| 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 |
| 关键词 | Monitoring Multimode processes Multimode division Global–local MIC-PCA-SVDD |
| 页码 | 307-320 |
| 通讯作者 | Li S(李帅) |
| 中文摘要 | 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. |
| 收录类别 | EI |
| 产权排序 | 1 |
| 会议录 | Lecture Notes in Electrical Engineering
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| 会议录出版者 | Springer Verlag |
| 会议录出版地 | Singapore |
| 语种 | 英语 |
| ISSN号 | 1876-1100 |
| ISBN号 | 978-981-10-7211-6 |
| 源URL | [http://ir.sia.cn/handle/173321/22030]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 作者单位 | 1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 2.Key Laboratory of Network Control System, Chinese Academy of Sciences, Shenyang 110016, China 3.University of Chinese Academy of Sciences, Beijing 100049, China |
| 推荐引用方式 GB/T 7714 | Li S,Wang ZW,Shi HB,et al. Multimode processes monitoring using global–local MIC-PCA-SVDD[C]. 见:9th International Conference on Modelling, Identification and Control, ICMIC 2017. Kunming, China. July 10-12, 2017. |
入库方式： OAI收割
来源：沈阳自动化研究所
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