An enhanced kernel learning data-driven method for multiple fault detection and identification in industrial systems

DOI10.1016/J.INS.2022.10.053OpenAlexW4306411450MaRDI QIDQ6125202

Hong-Jun Ma, Unnamed Author

Publication date: 11 April 2024

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2022.10.053

zbMATH Keywords

dynamic behaviorkernel learningmultiple fault detectionquality-related

Mathematics Subject Classification ID

System identification (93B30)

Cites Work

• Quality-related fault detection using linear and nonlinear principal component regression
• Multi-objective soft subspace clustering in the composite kernel space

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