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Keywords: neural network
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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...
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, V001T07A005, September 26–30, 2022
Publisher: American Society of Mechanical Engineers
Paper No: IPC2022-86906
... Abstract This paper discusses a model developed and applied to evaluate the probability of Stress Corrosion Cracking (SCC) failure in a large gas pipeline system spanning approximately 8,500 miles. A machine learning algorithm (neural network) was applied to the system, which has experienced...
Proceedings Papers

Proc. ASME. IPC2006, Volume 3: Materials and Joining; Pipeline Automation and Measurement; Risk and Reliability, Parts A and B, 751-755, September 25–29, 2006
Publisher: American Society of Mechanical Engineers
Paper No: IPC2006-10262
... 07 10 2008 Wavelet package and neural network are used to recognize the characteristics of pipeline leakage acoustic signals. Acoustic signals produced by pressure variation of pipelines can be detected by the acoustic sensors installed on the pipelines. The detecting accuracy can...