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

Donglei Zheng Le Zhou Zhihuan Song

自动化学报（英文版）2021，Vol.8Issue(8)：1465-1476,12.

自动化学报（英文版）2021，Vol.8Issue(8)：1465-1476,12.DOI:10.1109/JAS.2021.1004090

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

Donglei Zheng ¹Le Zhou ²Zhihuan Song¹

作者信息

1. State Key Laboratory of Industrial Control Technology,College of Control Science and Engineering,Zhejiang University,Hangzhou 310027,China
2. School of Automation and Electrical Engineering,Zhejiang University of Science&Technology,Hangzhou 310023,China
折叠

摘要

关键词

Fault detection/kernel method/multi-rate process/probability principal component analysis (PPCA)

Key words

Fault detection/kernel method/multi-rate process/probability principal component analysis (PPCA)

引用本文复制引用

Donglei Zheng,Le Zhou,Zhihuan Song..Kernel Generalization of Multi-Rate Probabilistic Principal Component Analysis for Fault Detection in Nonlinear Process[J].自动化学报（英文版）,2021,8(8):1465-1476,12.

基金项目

This work was supported by Zhejiang Provincial Natural Science Foundation of China(LY19F030003),Key Research and Development Project of Zhejiang Province(2021C04030),the National Natural Science Foundation of China(62003306)and Educational Commission Research Program of Zhejiang Province(Y202044842). （LY19F030003）

自动化学报（英文版）

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