Diversion Detection in Small-Diameter HDPE Pipes Using Guided Waves and Deep Learning

Diversion Detection in Small-Diameter HDPE Pipes Using Guided Waves and Deep Learning

In this paper, we propose a novel technique for the inspection of high-density polyethylene (HDPE) pipes using ultrasonic sensors, signal processing, and deep neural networks (DNNs). Specifically, we propose a technique that detects whether there is a diversion on a pipe or not. The proposed model t...

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Bibliographic Details
Main Authors: Abdullah Zayat, Mohanad Obeed, Anas Chaaban
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Sensors
Subjects:
high-density polyethylene (HDPE)
ultrasonic-guided waves (UGWs)
Zadoff–Chu sequence
deep neural network (DNN)
convolutional neural network (CNN)
recurrent neural network (RNN)
Online Access:https://www.mdpi.com/1424-8220/22/24/9586

Internet

https://www.mdpi.com/1424-8220/22/24/9586

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