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State Classification of the Corrosion of Pipes Using a Clustering Algorithm

클러스터링 알고리즘을 이용한 배관의 부식 상태 분류

  • Cheon, Kang-Min (Department of Mechanical Engineering (Department of Aeronautics, Mechanical and Electronic Convergence Engineering of Mechanical Engineering), Kumoh National Institute of Technology) ;
  • Shin, Geon-Ho (Department of Mechanical Engineering (Department of Aeronautics, Mechanical and Electronic Convergence Engineering of Mechanical Engineering), Kumoh National Institute of Technology) ;
  • Hur, Jang-Wook (Department of Mechanical Engineering (Department of Aeronautics, Mechanical and Electronic Convergence Engineering of Mechanical Engineering), Kumoh National Institute of Technology)
  • 천강민 (금오공과대학교 기계공학과(항공기계전자융합공학전공)) ;
  • 신건호 (금오공과대학교 기계공학과(항공기계전자융합공학전공)) ;
  • 허장욱 (금오공과대학교 기계공학과(항공기계전자융합공학전공))
  • Received : 2022.04.13
  • Accepted : 2022.06.12
  • Published : 2022.07.31

Abstract

Pipes transport and supply fuel in various categories; however, corrosion occurs because of the external environment, impurities are mixed in the fuel, and substances leak to the outside, which can lead to serious accidents. Therefore, in this study, inspection equipment using a laser scanner was manufactured to classify conditions according to the degree of corrosion of the outer wall of the pipe, and the corrosion height and maximum value of the pipe were obtained from the surface information. Using the k-means method, it was classified into four states, and the standard of the average height and maximum height of corrosion for each state was derived.

Keywords

Acknowledgement

본 연구는 과학기술정보통신부 및 정보통신기획평가원의 지역지능화혁신인재양성(Grand ICT연구 센터) 사업의 연구결과로 수행되었음(IITP-2022-2020-0-01612).

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