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Internal pipe corrosion assessment method in water distribution system using ultrasound and convolutional neural networks

Engineering and Technology

Internal pipe corrosion assessment method in water distribution system using ultrasound and convolutional neural networks

Y. Sung, H. Jeon, et al.

Explore groundbreaking research conducted by Yeongho Sung, Hyeon-Ju Jeon, Daehun Kim, Min-Seo Kim, Jaeyeop Choi, Hwan Ryul Jo, Junghwan Oh, O-Joun Lee, and Hae Gyun Lim on internal pipe corrosion in water distribution systems. This innovative study combines ultrasound and convolutional neural networks to accurately quantify corrosion and assess water safety, ensuring healthier drinking water for all.

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