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EDP Sciences E3S Web of Conferences 614
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    초록·키워드

    In this study, the Siemens wind turbine was analyzed according to technical pecifications using artificial neuralnetworks, 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. This study analyzes the Siemens wind turbine using artificial neural networks to predict possible outages due to mechanical and electrical faults, control systems, and other issues. The role of preventive maintenance based on these forecasts isexplainedtoreduce energylosses.

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