Photovoltaic system faults diagnosis using discrete wavelet transform based artificial neural networks

• Date: 2022
• Main Authors: Bengharbi, A. A., Laribi, S., Allaoui, T., Mimouni, A.
• Format: Article
• Language: English
• Published: National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine 2022
• Subjects: artificial neural network; discrete wavelet transform; fault diagnosis; photovoltaic system
• Online Access: http://eie.khpi.edu.ua/article/view/256603
• Journal Title: Electrical Engineering & Electromechanics

Introduction. This research work focuses on the design and experimental validation of fault detection techniques in grid-connected solar photovoltaic system operating under Maximum Power Point Tracking mode and subjected to various operating conditions. Purpose. Six fault scenarios are considered in...