DOI QR코드

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

  • Received : 2015.11.03
  • Accepted : 2015.12.02
  • Published : 2015.12.25

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.

Keywords

bolted joint;bolt loosening;vision;image processing;steel structure;wind turbine tower

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Cited by

  1. Recent R&D activities on structural health monitoring in Korea vol.3, pp.1, 2016, https://doi.org/10.12989/smm.2016.3.1.091
  2. A Review of Machine Vision-Based Structural Health Monitoring: Methodologies and Applications vol.2016, 2016, https://doi.org/10.1155/2016/7103039
  3. Image Registration-Based Bolt Loosening Detection of Steel Joints vol.18, pp.4, 2018, https://doi.org/10.3390/s18041000
  4. Bolt loosening angle detection technology using deep learning pp.15452255, 2018, https://doi.org/10.1002/stc.2292
  5. Monitoring Steel Bolted Joints during a Monotonic Tensile Test Using Linear and Nonlinear Lamb Wave Methods: A Feasibility Study vol.8, pp.9, 2018, https://doi.org/10.3390/met8090683

Acknowledgement

Grant : 친환경 복합기능 해안항만 구조시스템 창의인재양성 사업팀