Multivariate feature extraction based supervised machine learning for fault detection and diagnosis in photovoltaic systems

DOI10.1016/j.ejcon.2020.03.004zbMath1466.93083OpenAlexW3016260214MaRDI QIDQ2034223

Abdelmalek Kouadri, Mansour Hajji, Mohamed-Faouzi Harkat, Kamaleldin Abodayeh, Mohamed Nounou, Majdi Mansouri, Hazem N. Nounou

Publication date: 21 June 2021

Published in: European Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejcon.2020.03.004

zbMATH Keywords

feature extractionfault diagnosisprincipal component analysis (PCA)fault classificationphotovoltaic (PV) systemssupervised machine learning (SML)

Mathematics Subject Classification ID

Applications of statistics in engineering and industry; control charts (62P30) Multivariable systems, multidimensional control systems (93C35) Networked control (93B70)

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