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

    Source: Journal of Pressure Vessel Technology:;2024:;volume( 146 ):;issue: 006:;page 61801-1
    Author(s): Wang, Jun-qiang; Zha, Sixi; Sun, Jia-chen; Wang, Yang; Lan, Hui-qing
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, a method based on image recognition was proposed to detect the defects of polyethylene (PE) gas pipeline, especially the deformation due to the indentation. First, the pipeline -detection VGG (PD-VGG) model ...
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