Yingfu Guo, Weiming Quan, Wenyun Wang, Hao Zhou, Longzhou Zou. Crack Diagnosis Method of Wind Turbine Blade Based on Convolution Neural Network with 3D Vibration Information Fusion[J]. Acta Optica Sinica, 2020, 40(22): 2212004
- Acta Optica Sinica
- Vol. 40, Issue 22, 2212004 (2020)
Fig. 1. Binocular stereo imaging model
Fig. 2. Flow chart for making samples
Fig. 3. Improved CNN model
Fig. 4. Photogrammetry experiment chart. (a) Binocular high-speed camera measuring instrument; (b) wind turbine blade; (c) labels for different cracks; (d) code identification map
Fig. 5. Vibration displacement curves of No.5 coded marker. (a) X direction; (b) Y direction; (c) Z direction
Fig. 6. Image samples. (a) YPA; (b) YPB; (c) YPC; (d) YPD; (e) YPE; (f) YPF; (g) YPG; (h) YPH
Fig. 7. Image samples. (a) YPA; (b) YPB; (c) YPC; (d) YPD; (e) YPE; (f) YPF; (g) YPG; (h) YPH
Fig. 8. Train accuracy. (a) Experiment 1; (b) experiment 2; (c) experiment 3
Fig. 9. Confusion matrix for experiment 1. (a) Method 1; (b) method 2; (c) method 7
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Table 1. Structural parameters of the proposed CNN model
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Table 2. Contrast results of experiments
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