Work

Defect Detection of Polyethylene Gas Pipeline Based on Convolutional Neural Networks and Image Processing

Year: 2024

Type: article

Source: Journal of Pressure Vessel Technology

DOI: 10.1115/1.4066676

Authors: Jun-qiang Wang, Sixi Zha, Jia-chen Sun, Yang Wang, Hui-qing Lan

Institutions: China Special Equipment Inspection and Research Institute, South China University of Technology, Xinjiang University, Beijing Jiaotong University

Language: English

Topic: Industrial Vision Systems and Defect Detection

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4402936746

FWCI: 0.208

Cites: 21

Cited by: 1

Related to: 10