Flow Measurement of Natural Gas in Pipeline Based on 1D-Convolutional Neural Network

Flow Measurement of Natural Gas in Pipeline Based on 1D-Convolutional Neural Network

Time-difference method is a vitally significant algorithm for measuring natural gas flow with ultrasonic gas flowmeter. The key of this algorithm is to accurately measure the arrival time of ultrasonic signal. However, it is difficult to determine the feature points corresponding to the arrival time...

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Bibliographic Details
Main Author:	Tianjiao Zhang
Format:	Article
Language:	English
Published:	Atlantis Press 2020-08-01
Series:	International Journal of Computational Intelligence Systems
Subjects:	Flow measurement Ultrasonic signal Arrival time Feature recognition Convolutional neural network
Online Access:	https://www.atlantis-press.com/article/125943389/view

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