A method of convolutional neural network based on frequency segmentation for monitoring the state of wind turbine blades

A method of convolutional neural network based on frequency segmentation for monitoring the state of wind turbine blades

Wind turbine blades are prone to failure due to high tip speed, rain, dust and so on. A surface condition detecting approach based on wind turbine blade aerodynamic noise is proposed. On the experimental measurement data, variational mode decomposition filtering and Mel spectrogram drawing are condu...

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Bibliographic Details
Main Authors: Weijun Zhu, Yunan Wu, Zhenye Sun, Wenzhong Shen, Guangxing Guo, Jianwei Lin
Format: Article
Language:English
Published: Elsevier 2023-11-01
Series:Theoretical and Applied Mechanics Letters
Subjects:
Wind turbine aerodynamic noise
Surface condition detection
Mel spectrogram
Image segmentation
Convolution neural network (CNN)
Online Access:http://www.sciencedirect.com/science/article/pii/S2095034923000508

Internet

http://www.sciencedirect.com/science/article/pii/S2095034923000508

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