SIR-Aided Dynamic Canonical Correlation Analysis for Fault Detection and Isolation of Industrial Automation Systems-Reference-Cited by-同舟云学术

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SIR-Aided Dynamic Canonical Correlation Analysis for Fault Detection and Isolation of Industrial Automation Systems

Published:2023 Issue: Volume: Page:1-11
ISSN:0278-0046
Container-title:IEEE Transactions on Industrial Electronics
language:
Short-container-title:IEEE Trans. Ind. Electron.

Author:

Gao Long¹^ORCID,Li Donghui¹^ORCID,Chen Zhiwen²^ORCID,Ding Steven X.³^ORCID,Luo Hao⁴^ORCID

Affiliation:

1. School of Electrical and Information Engineering, Tianjin University, Tianjin, China

2. School of Automation, Central South University, Changsha, China

3. Institute for Automatic Control and Complex Systems (AKS), University of Duisburg-Essen, Duisburg, Germany

4. Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, China

Funder

National Natural Science Foundation of China

Science and Technology Innovation Program of Hunan Province

Natural Science Foundation of Hunan Province

Tianjin Research Innovation Project for Postgraduate Students

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/41/4387790/10354461.pdf?arnumber=10354461

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Dynamic Inner Canonical Variate Network for Incipient Fault Monitoring;IEEE Transactions on Industrial Informatics;2024-09

2. Gap-MK-DCCA-Based Intelligent Fault Diagnosis for Nonlinear Dynamic Systems;Processes;2024-02-15

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