Zobrazeno 1 - 10 of 13 pro vyhledávání: '"Se-Gon Kwon"'
1
Akademický článek
MRPC eddy current flaw classification in tubes using deep neural networks
Autor: Jinhyun Park, Seong-Jin Han, Nauman Munir, Yun-Taek Yeom, Sung-Jin Song, Hak-Joon Kim, Se-Gon Kwon
Publikováno v: Nuclear Engineering and Technology, Vol 51, Iss 7, Pp 1784-1790 (2019)
Accurate and consistent characterization of defects in steam generator tubes (SGT) in nuclear power plants is one of the key issues in the field of nondestructive testing since the large number of signals to be analyzed in a time-limited in-service i
Externí odkaz: https://doaj.org/article/b5b226b7d5f844cf9d4a0170c1f53dc2
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2
Akademický článek
Natural Rail Surface Defect Inspection and Analysis Using 16-Channel Eddy Current System
Autor: Se-Gon Kwon, Taek-Gyu Lee, Sang-Jun Park, Jeong-Won Park, Jong-Min Seo
Publikováno v: Applied Sciences, Vol 11, Iss 17, p 8107 (2021)
Trains are used as the fastest mode of transportation for both people and cargo. The train moves along a special path called “rail”, where fatigue can be accumulated due to wheel-rail contact load as a result of continuous train operation. Consis
Externí odkaz: https://doaj.org/article/bcddd4ce51c248b29d77b313460cf622
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4
Study on Structural Performance of Precast Track of Discrete Panel Supporting Type for Rapid Ballast Improvement
Autor: Yun Suk Kang, Chan Young Lee, Dong Du Jang, Se Gon Kwon, Woo Jin Han, Linh Vu
Publikováno v: Journal of the Korean Society of Hazard Mitigation. 20:233-244
The conventional ballast track needs to be improved and replaced due to the rapid degradation of the track. While operating the conventional line, the track structure needs to be rapidly improved and constructed in a narrow restricted tunnel space du
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d4e09dd62af0ebb3e44ad5116d79b84f
https://doi.org/10.9798/kosham.2020.20.5.233
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5
Rail Surface Defect Detection and Analysis Using Multi-Channel Eddy Current Method Based Algorithm for Defect Evaluation
Autor: Se Gon Kwon, Sang-Jun Park, Wonjae Choi, Taek Gyu Lee, Jong Min Seo, Jeong Won Park, In Chul Back
Publikováno v: Journal of Nondestructive Evaluation. 40
The railroad rail support trains and contributes to their operation. Internal and surface defects occur on the rail due to various combinations of causes including fatigue loading and cyclic tension and compression among others from the deterioration
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d42105ea90ed6d18a4cfa8de449c7823
https://doi.org/10.1007/s10921-021-00810-9
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7
MRPC eddy current flaw classification in tubes using deep neural networks
Autor: Se-Gon Kwon, Hak-Joon Kim, Nauman Munir, Jinhyun Park, Yun-Taek Yeom, Sung-Jin Song, Seong-Jin Han
Publikováno v: Nuclear Engineering and Technology, Vol 51, Iss 7, Pp 1784-1790 (2019)
Accurate and consistent characterization of defects in steam generator tubes (SGT) in nuclear power plants is one of the key issues in the field of nondestructive testing since the large number of signals to be analyzed in a time-limited in-service i
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5c953281ee58b18ac2240fa9cc9d8b2
http://www.sciencedirect.com/science/article/pii/S1738573319302414
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8
Characterization of defects on rail surface using eddy current technique
Autor: Sung-Jin Song, Hun-Hee Kim, M. B. Kishore, J. W. Park, Se Gon Kwon
Publikováno v: Journal of Mechanical Science and Technology. 33:4209-4215
In the present study, using eddy current technique (ECT), we explored two kinds of defects commonly found in railroad monitoring. The first one is cracks initiated on the surface of rail head which slowly progresses into vertical rail plane, the seco
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::494976f1c305fc31f8834cfdbbf55623
https://doi.org/10.1007/s12206-019-0816-x
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