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레이저 변위 센서를 활용한 배관 표면 상태분류

Classification of the Rusting State of Pipe Using a Laser Displacement Sensor

  • 천강민 (금오공과대학교 기계공학과(항공기계전자융합공학전공)) ;
  • 신백천 (금오공과대학교 기계공학과(항공기계전자융합공학전공)) ;
  • 신건호 (금오공과대학교 기계공학과(항공기계전자융합공학전공)) ;
  • 고정일 (금오공과대학교 기계공학과(항공기계전자융합공학전공)) ;
  • 이준혁 (금오공과대학교 기계공학과(항공기계전자융합공학전공)) ;
  • 허장욱 (금오공과대학교 기계공학과(항공기계전자융합공학전공))
  • Cheon, Kang-Min (Department of Mechanical Engineering (Department of Aeronautics, Mechanical and Electronic Convergence Engineering of Mechanical Engineering), Kumoh National Institute of Technology) ;
  • Shin, Baek-Cheon (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) ;
  • Go, Jeong-Il (Department of Mechanical Engineering (Department of Aeronautics, Mechanical and Electronic Convergence Engineering of Mechanical Engineering), Kumoh National Institute of Technology) ;
  • Lee, Jun-Hyeok (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)
  • 투고 : 2022.03.13
  • 심사 : 2022.04.11
  • 발행 : 2022.05.31

초록

Although pipe performs various functions in industrial sites and residential spaces, if it is damaged due to corrosion caused by the external environment, it may cause equipment failure or a major accident. For this reason, various studies for safety management are being conducted, but studies on detecting corrosion or cracks on the pipe surface using a laser displacement sensor have hardly been conducted. Therefore, in this study, the corrosion degree of the pipe surface was compared and classified into 4 corrosion conditions, and inspection equipment using a laser scanner was manufactured. The corrosion height was calculated from the four surface data obtained from the measuring equipment and applied to various CNN algorithms, and 91% accuracy was obtained during training using the Modified VGGNet16 code with reduced number of parameters.

키워드

과제정보

이 논문은 2019년도 정부(교육부)의 재원으로 한국연구재단의 지원을 받아 수행된 기초연구사업임(No. 2019R1I1A3A01063935)

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