Algerian Journal of Renewable Energy and Sustainable Development
Volume 6, Numéro 2, Pages 184-193
2024-12-15

Equivalent Model Based On Neural Network For Detection And Isolation Of Generator Faults Of A Wind Turbine



Authors : Zakaria Zemali . Cherroun Lakhmissi . Mouhamed Nadour .

Abstract

This paper introduces an intelligent approach to fault diagnosis in horizontal wind turbines using an equivalent model designed by a neural network, focusing specifically on generator faults. The effectiveness of the model is demonstrated by analyzing generator faults and comparing the actual process output with the neural network's equivalent model, which is quantified by calculated residuals. A decision block is integrated to determine the severity and timing of the fault. The results obtained highlight the system's proficiency in fault identification, offering insights into its capability to detect and respond to faults within horizontal wind turbines, particularly emphasizing generator-related issues.

Keywords

Wind turbine Neural network Generator Fault diagnosis

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