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Keywords: recognition
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Proceedings Papers

Proc. ASME. IPC2022, Volume 1: Pipeline Safety Management Systems; Project Management, Design, Construction, and Environmental Issues; Strain-Based Design and Assessment; Risk and Reliability; Emerging Fuels and Greenhouse Gas Emissions, V001T01A013, September 26–30, 2022
Publisher: American Society of Mechanical Engineers
Paper No: IPC2022-87163
... the recognition accuracy, a neural network algorithm was designed to identify and analyze the detection signals. By using a multilayer neural network for training and learning, the recognition accuracy and reliability of pipeline defects are improved. Further, a safety detection basis is provided...