Digital Twin Approach for Fault Diagnosis in Photovoltaic Plant DC–DC Converters

Digital Twin Approach for Fault Diagnosis in Photovoltaic Plant DC–DC Converters

This article presents a hybrid fault diagnosis framework for DC–DC converters in photovoltaic (PV) systems, combining digital twin (DT) modelling and detection with machine learning anomaly classification. The proposed method addresses both hardware faults such as open and short circuits in insulate...

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Bibliographic Details
Main Authors: Pablo José Hueros-Barrios, Francisco Javier Rodríguez Sánchez, Pedro Martín Sánchez, Carlos Santos-Pérez, Ariya Sangwongwanich, Mateja Novak, Frede Blaabjerg
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Sensors
Subjects:
digital twin
photovoltaic
fault diagnosis
machine learning
smart sensors
converters
Online Access:https://www.mdpi.com/1424-8220/25/14/4323
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