Quality-related fault monitoring for multi-phase batch process based on multiway weighted elastic network

doi:10.1016/j.chemolab.2022.104528

	Quality-related fault monitoring for multi-phase batch process based on multiway weighted elastic network
	Yao, Hongjuan 1,2; Zhao, Xiaoqiang1,2,3 ; Li, Wei1,2,3 ; Hui, Yongyong1,2,3
	2022-04-15
发表期刊	CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
ISSN	0169-7439
卷号	223
摘要	A quality-related fault monitoring method of multi-phase batch process based on multiway weighted elastic network is proposed in this paper. Firstly, to make the phase division for batch process more accurately, an improved affinity propagation clustering algorithm is developed. Secondly, a multiway weighted elastic network model is developed in each phase. On the one hand, quality-related subspace and quality-unrelated subspace are constructed in each phase to achieve dual monitoring of process fault and quality anomalies. On the other hand, kernel density estimation is used to measure the contribution of each element in each subspace to the fault. According to the difference of the contribution of each element to the fault, different weight is assigned to enhance the fault features and eliminate irrelevant features such as noise. Finally, support vector data description is used to establish monitoring indexes in both quality-related subspace and quality-unrelated subspace. Compared with traditional methods, the superiority and effectiveness of the proposed method have been verified by monitoring the penicillin fermentation process and the hot strip mill process.
关键词	Batch process Multi-phase characteristic Quality-related fault detection Elastic network Kernel density estimation Support vector data description
DOI	10.1016/j.chemolab.2022.104528
收录类别	SCIE
语种	英语
WOS研究方向	Automation & Control Systems ; Chemistry ; Computer Science ; Instruments & Instrumentation ; Mathematics
WOS类目	Automation & Control Systems ; Chemistry, Analytical ; Computer Science, Artificial Intelligence ; Instruments & Instrumentation ; Mathematics, Interdisciplinary Applications ; Statistics & Probability
WOS记录号	WOS:000821035800006
出版者	ELSEVIER
来源库	WOS
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/158839
专题	电气工程与信息工程学院
通讯作者	Zhao, Xiaoqiang
作者单位	1.Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Peoples R China; 2.Lanzhou Univ Technol, Key Lab Gansu Adv Control Ind Proc, Lanzhou 730050, Peoples R China; 3.Lanzhou Univ Technol, Natl Expt Teaching Ctr Elect & Control Engn, Lanzhou 730050, Peoples R China
第一作者单位	电气工程与信息工程学院; 兰州理工大学
通讯作者单位	电气工程与信息工程学院; 兰州理工大学
第一作者的第一单位	电气工程与信息工程学院
推荐引用方式 GB/T 7714	Yao, Hongjuan,Zhao, Xiaoqiang,Li, Wei,et al. Quality-related fault monitoring for multi-phase batch process based on multiway weighted elastic network[J]. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS,2022,223.
APA	Yao, Hongjuan,Zhao, Xiaoqiang,Li, Wei,&Hui, Yongyong.(2022).Quality-related fault monitoring for multi-phase batch process based on multiway weighted elastic network.CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS,223.
MLA	Yao, Hongjuan,et al."Quality-related fault monitoring for multi-phase batch process based on multiway weighted elastic network".CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 223(2022).