Investigation on leakage detection and localization in gas-liquid stratified flow pipelines based on acoustic method

Li, Xuejie; Xue, Yuan; Yue, Linjing; Ding, Rui; Liu, Cuiwei; Li, Yuxing

doi:10.1016/j.jpse.2022.100089

Journal of Pipeline Science and Engineering

2022

DOI: 10.1016/j.jpse.2022.100089

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Investigation on leakage detection and localization in gas-liquid stratified flow pipelines based on acoustic method

Xuejie Li

Yuan Xue²,

Linjing Yue³

et al.

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Cited by 7 publications

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WITHDRAWN: Framework for Generating Pipeline Leak Datasets using PIPESIM

Idachaba¹,

Tomomewo²

2023

Journal of Pipeline Science and Engineering

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Investigation on leakage detection and localization in gas-liquid stratified flow pipelines based on acoustic method

Cited by 7 publications

References 18 publications

WITHDRAWN: Framework for Generating Pipeline Leak Datasets using PIPESIM

WITHDRAWN: Framework for Generating Pipeline Leak Datasets using PIPESIM

Data-Driven Multi-Fault Detection in Pipelines Utilizing Frequency Response Function and Artificial Neural Networks

MFCC-LSTM framework for leak detection and leak size identification in gas-liquid two-phase flow pipelines based on acoustic emission

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