Multiscale Monitoring Using Machine Learning Methods: New Methodology and an Industrial Application to a Photovoltaic System

Multiscale Monitoring Using Machine Learning Methods: New Methodology and an Industrial Application to a Photovoltaic System

In this study, a multiscale monitoring method for nonlinear processes was developed. We introduced a machine learning tool for fault detection and isolation based on the kernel principal component analysis (PCA) and discrete wavelet transform. The principle of our proposal involved decomposing multi...

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Bibliographic Details
Main Authors: Hanen Chaouch, Samia Charfeddine, Sondess Ben Aoun, Houssem Jerbi, Víctor Leiva
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Mathematics
Subjects:
artificial intelligence
discrete wavelet transform
fault detection and isolation
kernel method
principal component analysis
Online Access:https://www.mdpi.com/2227-7390/10/6/890

Internet

https://www.mdpi.com/2227-7390/10/6/890

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