Equivalent model based on Neural Network for Detection and Isolation of Generator Faults of a Wind Turbine

Zakaria Zemali; Cherroun Lakhmissi; Mouhamed Nadour

Article Details

Equivalent model based on Neural Network for Detection and Isolation of Generator Faults of a Wind Turbine

Authors:

Zakaria Zemali | Cherroun Lakhmissi | Mouhamed Nadour

Publisher:

Université Ahmed Draya d'Adrar

Journal:

Algerian Journal of Renewable Energy and Sustainable Development Vol.6 Issue 2, pp.184-193

Document Type:

Article

Publication Date:

12/2024

Document Language:

English

Document ID (Org No.):

2001540255

pISSN:

2710-849X

Keywords:

Wind turbine Neural network Generator Fault diagnosis

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.

Article Details

Equivalent model based on Neural Network for Detection and Isolation of Generator Faults of a Wind Turbine

Authors: Zakaria Zemali | Cherroun Lakhmissi | Mouhamed Nadour

Publisher: Université Ahmed Draya d'Adrar

Journal: Algerian Journal of Renewable Energy and Sustainable Development Vol.6 Issue 2, pp.184-193

Document Type: Article

Publication Date: 12/2024

Document Language: English

Document ID (Org No.): 2001540255

pISSN: 2710-849X

Wind turbine Neural network Generator Fault diagnosis

Issues

Authors:

Zakaria Zemali | Cherroun Lakhmissi | Mouhamed Nadour

Publisher:

Université Ahmed Draya d'Adrar

Journal:

Algerian Journal of Renewable Energy and Sustainable Development Vol.6 Issue 2, pp.184-193

Document Type:

Article

Publication Date:

12/2024

Document Language:

English

Document ID (Org No.):

2001540255

pISSN:

2710-849X