8 April 2016 Bolt-loosening identification of bolt connections by vision image-based technique
Author Affiliations +
In this study, an algorithm using image processing techniques is proposed to identify bolt-loosening in bolted connections of steel structures. Its basic concept is to identify rotation angles of nuts from a pictured image, and is mainly consisted of the following 3 steps: (1) taking a picture for a bolt joint, (2) segmenting the images for each nut by image processing techniques, and (3) identifying rotation angle of each nut and detecting bolt-loosening. By using the concept, an algorithm is designed for continuous monitoring and inspection of the bolt connections. As a key imageprocessing technique, Hough transform is used to identify rotation angles of nuts, and then bolt-loosening is detected by comparing the angles before and after bolt-loosening. Then the applicability of the proposed algorithm is evaluated by experimental tests for two lab-scaled models. A bolted joint model which consists of a splice plate and 8 sets of bolts and nuts with 2×4 array is used to simulate inspection of bridge connections, and a model which is consisted of a ring flange and 32 sets of bolt and nut is used to simulate continuous monitoring of bolted connections in wind turbine towers.
Conference Presentation
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tuan-Cuong Nguyen, Tuan-Cuong Nguyen, Thanh-Canh Huynh, Thanh-Canh Huynh, Joo-Young Ryu, Joo-Young Ryu, Jae-Hyung Park, Jae-Hyung Park, Jeong-Tae Kim, Jeong-Tae Kim, "Bolt-loosening identification of bolt connections by vision image-based technique", Proc. SPIE 9804, Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure 2016, 980413 (8 April 2016); doi: 10.1117/12.2219055; https://doi.org/10.1117/12.2219055


Quality assessment of glass jewelry stones
Proceedings of SPIE (November 30 2017)
Segmenter Wobble In Infrared Images
Proceedings of SPIE (March 16 1983)
Parallel Edge Detection
Proceedings of SPIE (May 17 1987)

Back to Top