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

  • Park, Jae-Hyung (Department of Ocean Engineering, Pukyong National University) ;
  • Huynh, Thanh-Canh (Department of Ocean Engineering, Pukyong National University) ;
  • Choi, Sang-Hoon (Department of Ocean Engineering, Pukyong National University) ;
  • Kim, Jeong-Tae (Department of Ocean Engineering, Pukyong National University)
  • Received : 2015.11.03
  • Accepted : 2015.12.02
  • Published : 2015.12.25


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.


Grant : 친환경 복합기능 해안항만 구조시스템 창의인재양성 사업팀


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