Lamb wave measurement and identification method for fluid states in gathering and transportation pipelines based on elastic net regression

Abstract

Abstract: With the development of Chinese economy and the increase in energy demand,gathering and transportation pipelines have been widely used in natural gas transportation. To address the problem of fluid state identification in gathering and transportation pipelines,a fluid state identification method for gathering and transportation pipelines based on elastic net regression is proposed by using the non-invasive measurement technology of ultrasonic Lamb wave. Based on the ultrasonic Lamb wave measurement signal,its time-frequency features are first extracted to mine the comprehensive information in the signal. Then the key features are selected using elastic net regression. The selected time-frequency features are then used to construct a random forest model. For online identification,the key time-frequency features in real-time data are extracted and retained,and the trained random forest model is used to realize the classification and early warning of the fluid state. The experimental results demonstrate that the proposed method is effective for Lamb wave detection signals.

Key words: gathering and transportation pipelines, ultrasonic Lamb wave, time-frequency feature, elastic net regression, fluid state identification

CLC Number:

TE832

WANG Junfeng, ZHANG Baolei, LIU Jinhai, WANG Luyao, SHANG Zunxuan. Lamb wave measurement and identification method for fluid states in gathering and transportation pipelines based on elastic net regression[J]. TIANJIN SCIENCE & TECHNOLOGY, 2025, 52(08): 19-23+31.

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