Buy article PDF
The purchased file will be sent to you
via email after the payment is completed.
US$ 35
|
Wind and Structures Volume 21, Number 6, December 2015 , pages 709-726 DOI: https://doi.org/10.12989/was.2015.21.6.709 |
|
|
|
Vision-based technique for bolt-loosening detection in wind turbine tower |
||
Jae-Hyung Park, Thanh-Canh Huynh, Sang-Hoon Choi and Jeong-Tae Kim
|
||
| Abstract | ||
| In this study, a novel vision-based bolt-loosening monitoring technique is proposed for bolted joints connecting tubular steel segments of the wind turbine tower (WTT) structure. Firstly, a bolt-loosening detection algorithm based on image processing techniques is developed. The algorithm consists of five steps: image acquisition, segmentation of each nut, line detection of each nut, nut angle estimation, and bolt-loosening detection. Secondly, experimental tests are conducted on a lab-scale bolted joint model under various bolt-loosening scenarios. The bolted joint model, which is consisted of a ring flange and 32 sets of bolt and nut, is used for simulating the real bolted joint connecting steel tower segments in the WTT. Finally, the feasibility of the proposed vision-based technique is evaluated by bolt-loosening monitoring in the lab-scale bolted joint model. | ||
| Key Words | ||
| bolted joint; bolt loosening; vision; image processing; steel structure; wind turbine tower | ||
| Address | ||
| Jae-Hyung Park, Thanh-Canh Huynh, Sang-Hoon Choi and Jeong-Tae Kim: Department of Ocean Engineering, Pukyong National University, 45 Yongso-ro, Nam-gu, Busan, Korea | ||