Machine Learning for Wind Turbine Blades Maintenance Management

作者: Alfredo Arcos Jiménez , Carlos Gómez Muñoz , Fausto García Márquez

DOI: 10.3390/EN11010013

关键词: DelaminationWavelet transformArtificial neural networkMultilayer perceptronFeature extractionTurbine bladeMachine learningFeature selectionArtificial intelligenceComputer scienceStress concentration

摘要: Delamination in Wind Turbine Blades (WTB) is a common structural problem that can generate large costs. Delamination is the separation of layers of a composite material, which …

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