A Novel MDFA-MKECA Method With Application to Industrial Batch Process Monitoring

doi:10.1109/JAS.2019.1911555

CASIA OpenIR > 学术期刊 > IEEE/CAA Journal of Automatica Sinica

	A Novel MDFA-MKECA Method With Application to Industrial Batch Process Monitoring
	Yinghua Yang; Xiang Shi; Xiaozhi Liu; Hongru Li
发表期刊	IEEE/CAA Journal of Automatica Sinica
ISSN	2329-9266
	2020
卷号	7 期号:5 页码:1438-1446
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.
关键词	MDFA MKECA process monitoring reheating furnace statistical features thermodynamics entropy feature
DOI	10.1109/JAS.2019.1911555
引用统计	被引频次：7[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/43045
专题	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.

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