A Novel MDFA-MKECA Method With Application to Industrial Batch Process Monitoring
文献类型：期刊论文
| 作者 | Yinghua Yang; Xiang Shi; Xiaozhi Liu; Hongru Li |
| 刊名 | IEEE/CAA Journal of Automatica Sinica
 |
| 出版日期 | 2020 |
| 卷号 | 7期号:5页码:1438-1446 |
| 关键词 | MDFA MKECA process monitoring reheating furnace statistical features thermodynamics entropy feature |
| ISSN号 | 2329-9266 |
| DOI | 10.1109/JAS.2019.1911555 |
| 英文摘要 | For the complex batch process with characteristics of unequal batch data length, a novel data-driven batch process monitoring method is proposed based on mixed data features analysis and multi-way kernel entropy component analysis (MDFA-MKECA) in this paper. Combining the mechanistic knowledge, different mixed data features of each batch including statistical and thermodynamics entropy features, are extracted to finish data pre-processing. After that, MKECA is applied to reduce data dimensionality and finally establish a monitoring model. The proposed method is applied to a reheating furnace industry process, and the experimental results demonstrate that the MDFA-MKECA method can reduce the calculated amount and effectively provide on-line monitoring of the batch process. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/43045]  |
| 专题 | 自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica |
| 推荐引用方式 GB/T 7714 | Yinghua Yang,Xiang Shi,Xiaozhi Liu,et al. A Novel MDFA-MKECA Method With Application to Industrial Batch Process Monitoring[J]. IEEE/CAA Journal of Automatica Sinica,2020,7(5):1438-1446. |
| APA | Yinghua Yang,Xiang Shi,Xiaozhi Liu,&Hongru Li.(2020).A Novel MDFA-MKECA Method With Application to Industrial Batch Process Monitoring.IEEE/CAA Journal of Automatica Sinica,7(5),1438-1446. |
| MLA | Yinghua Yang,et al."A Novel MDFA-MKECA Method With Application to Industrial Batch Process Monitoring".IEEE/CAA Journal of Automatica Sinica 7.5(2020):1438-1446. |
入库方式： OAI收割
来源：自动化研究所
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