Crack Diagnosis Method of Wind Turbine Blade Based on Convolution Neural Network with 3D Vibration Information Fusion

Yingfu Guo; Weiming Quan; Wenyun Wang; Hao Zhou; Longzhou Zou

doi:10.3788/AOS202040.2212004

Acta Optica Sinica, Volume. 40, Issue 22, 2212004(2020)

Crack Diagnosis Method of Wind Turbine Blade Based on Convolution Neural Network with 3D Vibration Information Fusion

Yingfu Guo¹, Weiming Quan¹, Wenyun Wang^2、*, Hao Zhou¹, and Longzhou Zou¹

Author Affiliations

¹Electromechanic Engineering College, Hunan University of Science and Technology, Xiangtan, Hunan 411201, China

²Hunan Provincial Key Laboratory of Health Maintenance for Mechanical Equipment, Xiangtan, Hunan 411201, China

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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

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Paper Information

Category: Instrumentation, Measurement and Metrology

Received: Jun. 23, 2020

Accepted: Aug. 3, 2020

Published Online: Oct. 25, 2020

The Author Email: Wang Wenyun (wwy73210693@163.com)

DOI:10.3788/AOS202040.2212004

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