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Hybrid Probabilistic Slow Feature Analysis of Continuous and Binary Data for Dynamic Process Monitoring

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Year: 2024
Type: article
Source: IEEE Transactions on Systems Man and Cybernetics Systems
DOI: 10.1109/tsmc.2024.3462755
Authors: Junhao Chen, Pengyu Song, Chunhui Zhao, Min Xie
Institutions: State Key Laboratory of Industrial Control Technology, Zhejiang University, City University of Hong Kong
Language: English

Topic: Fault Detection and Control Systems
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, State Key Laboratory of Industrial Control Technology
Awards: G1148198825, G4648104307
OpenAlex ID: W4402979007
FWCI: 2.362
Cites: 46
Cited by: 15
Related to: 10
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