Kernel Generalization of Multi-Rate Probabilistic Principal Component Analysis for Fault Detection in Nonlinear Process

doi:10.1109/JAS.2021.1004090

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

	Kernel Generalization of Multi-Rate Probabilistic Principal Component Analysis for Fault Detection in Nonlinear Process
	Donglei Zheng; Le Zhou; Zhihuan Song
发表期刊	IEEE/CAA Journal of Automatica Sinica
ISSN	2329-9266
	2021
卷号	8 期号:8 页码:1465-1476
摘要	In practical process industries, a variety of online and offline sensors and measuring instruments have been used for process control and monitoring purposes, which indicates that the measurements coming from different sources are collected at different sampling rates. To build a complete process monitoring strategy, all these multi-rate measurements should be considered for data-based modeling and monitoring. In this paper, a novel kernel multi-rate probabilistic principal component analysis (K-MPPCA) model is proposed to extract the nonlinear correlations among different sampling rates. In the proposed model, the model parameters are calibrated using the kernel trick and the expectation-maximum (EM) algorithm. Also, the corresponding fault detection methods based on the nonlinear features are developed. Finally, a simulated nonlinear case and an actual pre-decarburization unit in the ammonia synthesis process are tested to demonstrate the efficiency of the proposed method.
关键词	Fault detection kernel method multi-rate process probability principal component analysis (PPCA)
DOI	10.1109/JAS.2021.1004090
引用统计	被引频次：13[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/173211/44597
专题	学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Donglei Zheng,Le Zhou,Zhihuan Song. Kernel Generalization of Multi-Rate Probabilistic Principal Component Analysis for Fault Detection in Nonlinear Process[J]. IEEE/CAA Journal of Automatica Sinica,2021,8(8):1465-1476.
APA	Donglei Zheng,Le Zhou,&Zhihuan Song.(2021).Kernel Generalization of Multi-Rate Probabilistic Principal Component Analysis for Fault Detection in Nonlinear Process.IEEE/CAA Journal of Automatica Sinica,8(8),1465-1476.
MLA	Donglei Zheng,et al."Kernel Generalization of Multi-Rate Probabilistic Principal Component Analysis for Fault Detection in Nonlinear Process".IEEE/CAA Journal of Automatica Sinica 8.8(2021):1465-1476.

条目包含的文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
JAS-2020-1119.pdf（1388KB）	期刊论文	出版稿	开放获取	CC BY-NC-SA	浏览