Bolt-Loosening Detection using Vision-Based Deep Learning Algorithm and Image Processing Method |
Lee, So-Young
(Department of Ocean Engineering, Pukyong National Univ.)
Huynh, Thanh-Canh (Center for Construction, Mechanics and Materials, Institute of Research and Development, Duy Tan Univ.) Park, Jae-Hyung (Coastal and Structural Solution Co. Ltd.) Kim, Jeong-Tae (Department of Ocean Engineering, Pukyong National Univ.) |
1 | Abdeljaber, O., Avci, O., Kiranyaz, M.S., Boashash, B., Sodano, H., Inman, D.J. (2018) 1-D CNNs for Structural Damage Detection: Verification on a Structural Health Monitoring Benchmark Data, Neurocomput., 275, pp.1308-1317. DOI |
2 | Cha, Y.J., Choi, W., Buyukozturk, O. (2017) Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks, Comput.-Aided Civil & Infrastruct. Eng., 32(5), pp.361-378. DOI |
3 | Cha, Y.J., You, K., Choi, W. (2016) Vision-based Detection of Loosened Bolts using the Hough Transform and Support Vector Machines, Autom. Constr., 71, pp.181-188. DOI |
4 | Girshick, R., Donahue, J., Darrell, T., Malik, J. (2014) Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation, 2014 IEEE Conf. Comput. Vision & Pattern Recognit., Jun. 2014, Columbus, USA. |
5 | Gu, J., Wang, Z., Kuen, J., Ma, L., Shahroudy, A., Shuai, B., Liu, T., Wang, X., Wang, L., Wang, G. (2015) Recent Advances in Convolutional Neural Networks, Pattern Recognit., 77, pp.354-377. DOI |
6 | Janssens, O., Slavkovikj, V., Vervisch, B., Stockman, K., Loccufier, M., Verstockt, S., Van de Walle, R., Van Hoecke, S. (2016) Convolutional Neural Network Based Fault Detection for Rotating Machinery, J. Sound & Vib., 377, pp.331-345. DOI |
7 | Krizhevsky, A., Hinton, G. (2009) Learning Multiple Layers of Features from Tiny Images, Technical Report TR-2009, University of Toronto, Toronto. |
8 | Nguyen, T.C., Huynh, T.C., Ryu, J.Y., Park, J.H., Kim, J.T. (2016) Bolt-loosening Identification of Bolt Connections by Vision Image-based Technique, SPIE Smart Struct. & Mater. + Nondestruc. Eval. & Health Monit., Mar. 2016, Las Vegas, USA. |
9 | Park, J.H., Huynh, T.C., Choi, S.H., Kim, J.T. (2015) Vision-based Technique for Bolt-loosening Detection in Wind Turbine Tower, Wind & Struct., 21(6), pp.709-726. DOI |
10 | Yang, S., Ho, C.C., Chen, J., Chang, C. (2012) Practical Homography-Based Perspective Correction Method for License plate Recognition, 2012 Int. Conf. Inf. Secur. & Intell. Control, Aug. 2012, Yunlin, Taiwan. |
11 | Zhao, X., Zhang, Y., Wang, N. (2019) Bolt Loosening Angle Detection Technology using Deep Learning, Struct. Control & Health Monit., 26(1), https://doi.org/10.1002/stc.2292. DOI |
12 | KOSTAT (2019) E-nara index, http://www.index.go.kr/. |