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Online Contribution Rate Based Fault Diagnosis for Nonlinear Industrial Pro cesses

PENG Kai-Xiang ZHANG Kai LI Gang

自动化学报Issue(3)：423-430,8.

自动化学报Issue(3)：423-430,8.DOI:10.3724/SP.J.1004.2014.00423

Online Contribution Rate Based Fault Diagnosis for Nonlinear Industrial Pro cesses

PENG Kai-Xiang ¹ZHANG Kai ¹LI Gang²

作者信息

1. Key Laboratory for Advanced Control of Iron and Steel Process, School of Automation and Electrical Engineering, University of Sci-ence and Technology Beijing, Beijing 100083, China
2. Depart-ment of Automation, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing 100084, China
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摘要

关键词

Kernel principal component analysis (KPCA)/nonlinear/fault detection/contribution rate/fault diagnosis

Key words

Kernel principal component analysis (KPCA)/nonlinear/fault detection/contribution rate/fault diagnosis

引用本文复制引用

PENG Kai-Xiang,ZHANG Kai,LI Gang..Online Contribution Rate Based Fault Diagnosis for Nonlinear Industrial Pro cesses[J].自动化学报,2014,(3):423-430,8.

基金项目

Supported by National Natural Science Foundation of China (61074085), Beijing Natural Science Foundation (4122029,4142035), and the Fundamental Research Funds for the Central Universities (FRF-SD-12-008B, FRF-AS-11-004B) （61074085）

自动化学报

OA北大核心CSCDCSTPCD

ISSN：0254-4156

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