Fault detection and isolation of gas turbine: hierarchical classification and confidence rate computation

DOI10.1016/j.jfranklin.2022.09.056zbMath1501.93004OpenAlexW4298108613MaRDI QIDQ2096136

Behzad Moshiri, Mohammad Reza Nayeri, Babak Nadjar Araabi

Publication date: 16 November 2022

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2022.09.056

zbMATH Keywords

gas turbinehierarchical classifierfault detection and isolation system

Mathematics Subject Classification ID

Application models in control theory (93C95) Hierarchical systems (93A13)

Cites Work

• Unnamed Item
• A new correlation coefficient between categorical, ordinal and interval variables with Pearson characteristics
• Fault detection and isolation of gas turbine engine using inversion-based and optimal state observers

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