CNN-BLADENET-all code
Published: 7 May 2025| Version 1 | DOI: 10.17632/nf4d554xb7.1
Contributor:
婧 赵Description
This paper proposes a new method for WTB condition monitoring based on a CNN named "BladeNet". First, the model structure is defined using a CNN for optical flow estimation. Simultaneously, a speckle dataset is constructed to optimize the model through training. Subsequently, the performance of the proposed CNNs is evaluated using the star displacement field. Finally, the proposed CNN model is validated with authentic WTB images. The experimental results suggest that the proposed method demonstrates enhanced feasibility for practical wind energy applications, potentially advancing the adoption of clean energy.
Files
Institutions
- Lanzhou University of Technology
Categories
Convolutional Neural Network