Vision-based technique for bolt-loosening detection in wind turbine tower

被引：109

作者：

Park, Jae-Hyung ^{[1
]}

Thanh-Canh Huynh ^{[1
]}

Choi, Sang-Hoon ^{[1
]}

Kim, Jeong-Tae ^{[1
]}

机构：

[1] Pukyong Natl Univ, Dept Ocean Engn, Busan 608737, South Korea

来源：

WIND AND STRUCTURES | 2015年 / 21卷 / 06期

关键词：

bolted joint; bolt loosening; vision; image processing; steel structure; wind turbine tower; CRACK DETECTION; SURFACE; DAMAGE; SENSOR;

D O I：

10.12989/was.2015.21.6.709

中图分类号：

TU [建筑科学];

学科分类号：

0813 ;

摘要：

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.

引用

页码：709 / 726

页数：18

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