Acoustic emission-based weld crack leakage monitoring via FGI and MCCF-CondenseNet convolutional neural network-Reference-Cited by-同舟云学术

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Acoustic emission-based weld crack leakage monitoring via FGI and MCCF-CondenseNet convolutional neural network

Published:2024-12 Issue: Volume:148 Page:103232
ISSN:0963-8695
Container-title:NDT & E International
language:en
Short-container-title:NDT & E International

Author:

Yu Yanlong,Zhang Zhifen^ORCID,Huang Jing,Li Yongjie,Qin Rui,Wen Guangrui,Cheng Wei,Chen Xuefeng^ORCID

Publisher

Elsevier BV

Reference44 articles.

1. An inverse transient nonmetallic pipeline leakage diagnosis method based on markov quantitative judgment;Hao;Adv Mater Sci Eng,2020

2. Residual stress measurement of new and in-service X70 pipelines by X-ray diffraction method;Gou;NDT E Int,2011

3. Composite magnetic flux leakage detection method for pipelines using alternating magnetic field excitation;Wu;NDT E Int,2017

4. Communication network for ultrasonic acoustic water leakage detectors;Awwad;IEEE Access,2020

5. Pipeline leakage detection using acoustic emission and machine learning algorithms;Ullah;J/OL],2023

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