Issue |
E3S Web Conf.
Volume 614, 2025
International Conference on Agritech and Water Management (ICAW 2024)
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Article Number | 01009 | |
Number of page(s) | 8 | |
Section | Renewable Energy Sources and Energy-Saving Technologies | |
DOI | https://doi.org/10.1051/e3sconf/202561401009 | |
Published online | 07 February 2025 |
Prediction by artificial neural networks analysis of emergency situations at wind farms
1 Ministry of Electricity and Renewable Energy - General Company for Electric Power Production Medial Region
2 University of Tabriz, Tabriz, Iran
3 South Ural State University, Chelyabinsk, Russia
In this study, the Siemens wind turbine was analyzed according to technical specifications using artificial neural networks, and the possible forecasts of the wind turbine going out of service for maintenance due to mechanical and electrical faults, control systems, and other faults such as disconnection from the electrical network were studied and the role of preventive maintenance based on this forecast is explained. From energy losses due to the turbine being out of operation for maintenance
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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