中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Kernel Generalization of Multi-Rate Probabilistic Principal Component Analysis for Fault Detection in Nonlinear Process

文献类型:期刊论文

作者Donglei Zheng; Le Zhou; Zhihuan Song
刊名IEEE/CAA Journal of Automatica Sinica
出版日期2021
卷号8期号:8页码:1465-1476
关键词Fault detection kernel method multi-rate process probability principal component analysis (PPCA)
ISSN号2329-9266
DOI10.1109/JAS.2021.1004090
英文摘要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.
源URL[http://ir.ia.ac.cn/handle/173211/44597]  
专题自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
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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.

入库方式: OAI收割

来源:自动化研究所

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