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http://dx.doi.org/10.14775/ksmpe.2022.21.07.091

State Classification of the Corrosion of Pipes Using a Clustering Algorithm  

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)
Publication Information
Journal of the Korean Society of Manufacturing Process Engineers / v.21, no.7, 2022 , pp. 91-97 More about this Journal
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
State Classification; Clustering Algorithm; Laser Displacement Sensor; Corrosion Height; K-Means;
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