| Friction measurement of aircraft wing based on optimized FlowNet2.0 |
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| 作者姓名： | Hongjiang QIAN Zhiyong HUANG Jian WANG Yeting XU Xiucheng DONG Jiebin SHEN |
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| 作者单位： | 1. School of Aeronautics and Astronautics, Sichuan University;2. School of Electrical Engineering and Electronic Information, Xihua University |
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| 基金项目： | co-supported by the National Natural Science Foundation of China (No. 11872259)；;the National Science and Technology Major Project of China (No. J2019-IV-00100078)； |
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| 摘 要： | Few studies have applied the deep optical flows model to global friction measurements of aircraft wing. This study used an optimized FlowNet2.0 model to measure friction of wing based on fluorescent oil film, which achieved the first integration of deep learning and friction measurement.Two input images of the traditional FlowNet2.0 model were extended to multiple images so that more flow features and details could be with them. It is the specific part of optimization that will also further impr...
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