Wind-turbine Blade Inspection Using Impact-Sounding Module and Acoustic Analysis
文献类型：会议论文
| 作者 | Yang L(杨亮)1,2 ; Chang Y(常勇)2; Sotnikov, Stanislav1; Feng, Jinglun1; Li, Bingbing2
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| 出版日期 | 2019 |
| 会议日期 | July 29 - August 2, 2019 |
| 会议地点 | Suzhou, China |
| 页码 | 253-258 |
| 英文摘要 | Wind is quickly becoming one of the most important renewable energy sources in the United States and around the world. One of the biggest challenges in wind industry is a constant need for inspection and maintenance of wind blades. This paper addresses the issue of inspecting subsurface delamination of blade using a mobile robot equipped with an acoustic impact-sounding system and RGB-D camera. Using a simple solenoid as a tapping device to collect acoustic data, we first use an Adaboost model to detect the delaminated area. Then, we use a Random Forest method model to perform region classification using the normal acoustic data. The acoustic analysis proves that frequency density provides a higher contrast between the delaminated region and the normal region than power spectral density method. Furthermore, We performed comparative experimental study on defects detection and area classification. Results show that our algorithm can achieve 88.57% accuracy in delamination recognition, and 78.33% in accuracy for region classification. |
| 产权排序 | 1 |
| 会议录 | Proceedings of 9th IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-7281-0769-1 |
| WOS记录号 | WOS:000569550300044 |
| 源URL | [http://ir.sia.cn/handle/173321/26835]  |
| 专题 | 工艺装备与智能机器人研究室 |
| 通讯作者 | Yang L(杨亮) |
| 作者单位 | 1.CCNY Robotics Lab, NY 10031, United States 2.State Key Lab of Robotics, Shenyang Institute of Automation, University of Chinese Academy of Sciences, China |
| 推荐引用方式 GB/T 7714 | Yang L,Chang Y,Sotnikov, Stanislav,et al. Wind-turbine Blade Inspection Using Impact-Sounding Module and Acoustic Analysis[C]. 见:. Suzhou, China. July 29 - August 2, 2019. |
入库方式： OAI收割
来源：沈阳自动化研究所
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