Multimode Industrial Process Monitoring using Hierarchical Mode Division and Serial Independent Component Analysis
文献类型：会议论文
| 作者 | Li S(李帅)1,2,3,4 ; Zhou XF(周晓锋)2,3,4; Shi HB(史海波)2,3,4
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| 出版日期 | 2021 |
| 会议日期 | 2021年7月30日-8月1日 |
| 会议地点 | 山西太原 |
| 关键词 | Process monitoring multimode industrial process transition mode hierarchical mode division serial independent component analysis |
| 页码 | 454 |
| 英文摘要 | With the increasing scale and complexity,how to analyze the hybrid characteristics including multimode,nonGaussianity and nonlinearity is one of the most difficult problems faced by multimode industrial process monitoring.This paper proposes a monitoring method using hierarchical mode division with serial independent component analysis for multimode processes with transitions.Considering the multimodal uncertainty and transition mode,hierarchical mode information with transitions is first obtained by mode division using hierarchical density peaks clustering.Subsequently,by integrating independent component analysis(ICA) and kernel independent component analysis(KICA) using the serial structure,a hybrid non-Gaussian and nonlinear process modeling method using serial independent component analysis is used for hierarchical process modeling.Finally,the stable and transition mode identification using geodesic distance is developed for multimode industrial process monitoring.The monitoring results for the penicillin fermentation process show the feasibility and effectiveness. |
| 源文献作者 | 中国自动化学会过程控制专业委员会、中国自动化学会 |
| 产权排序 | 1 |
| 会议录 | 第32届中国过程控制会议(CPCC2021)论文集
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| 语种 | 英语 |
| 源URL | [http://ir.sia.cn/handle/173321/30280]  |
| 专题 | 沈阳自动化研究所_数字工厂研究室 |
| 通讯作者 | Li S(李帅) |
| 作者单位 | 1.University of Chinese Academy of Sciences, Beijing 100049, China 2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 3.Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang 110016, China 4.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China |
| 推荐引用方式 GB/T 7714 | Li S,Zhou XF,Shi HB. Multimode Industrial Process Monitoring using Hierarchical Mode Division and Serial Independent Component Analysis[C]. 见:. 山西太原. 2021年7月30日-8月1日. |
入库方式： OAI收割
来源：沈阳自动化研究所
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