Multi-mode fusion BP neural network model with vibration and acoustic emission signals for process pipeline crack location

Author:

Zhou Lei,Wang Puzhe,Zhang Chuanjie,Qu Xianqiang,Gao Chengang,Xie Yaoguo

Funder

Ministry of Industry and Information Technology of the People's Republic of China

Publisher

Elsevier BV

Subject

Ocean Engineering,Environmental Engineering

Reference27 articles.

1. One-dimensional convolutional neural network for damage detection of jacket-type offshore platforms;Bao;Ocean Eng.,2021

2. Damage monitoring of carbon fibre reinforced polymer composites using acoustic emission technique and deep learning;Barile;Compos. Struct.,2022

3. Acoustic emission source localization and correction of slewing bearings based on linear time difference;Chen;J. S. China Univ. Technol.,2013

4. Guidelines for the Avoidance of Vibration Induced Fatigue Failure in Process Pipework[M];Each,2008

5. A generalizable deep learning framework for localizing and characterizing acoustic emission sources in riveted metallic panels;Ebrahimkhanlou;Mech. Syst. Signal Process.,2019

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