Anti-interference damage localization in composite overwrapped pressure vessels using machine learning and ultrasonic guided waves-Reference-Cited by-同舟云学术

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Anti-interference damage localization in composite overwrapped pressure vessels using machine learning and ultrasonic guided waves

Published:2023-12 Issue: Volume:140 Page:102961
ISSN:0963-8695
Container-title:NDT & E International
language:en
Short-container-title:NDT & E International

Author:

Hu Chaojie,Yang Bin,Yang Lulu,Wang Ziju,Hu Wenlong,Biao Xiao,Yuan Yiwen,Sun Maoxun

Funder

National Natural Science Foundation of China

Shanghai Rising-Star Program

Publisher

Elsevier BV

Subject

Mechanical Engineering,Condensed Matter Physics,General Materials Science

Reference39 articles.

1. Conditionmonitoring of composite overwrap pressure vessels based on buckypaper sensor and MXene sensor;Lin;Compos Commun,2021

2. The influence of the internal pressure on the residual strength of composite-overwrapped pressure vessels subjected to external contact loading;Weerts;Compos Struct,2022

3. Damage monitoring and locating of COPV under low velocity impact using MXene sensor array;Zhang;Compos Commun,2022

4. On the modal acoustic emission testing of composite structure;Dahmene;Compos Struct,2016

5. Detecting impact traces on a composite pressure vessel with aluminum-coating optical fiber using a phase-modulated BOCDA sensor;Choi;Compos Sci Technol,2017

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1. Sensors integration for structural health monitoring in composite pressure vessels: A review;Composite Structures;2025-01

2. Applications of artificial intelligence/machine learning to high-performance composites;Composites Part B: Engineering;2024-10

3. Damage identification for UAV composite propeller blades based on transmissibility probabilistic distance and attention bidirectional temporal convolutional network;Measurement;2024-09

4. Delamination detection in CFRP laminates using deep transfer learning with limited experimental data;Journal of Materials Research and Technology;2024-03

5. In-Depth Steel Crack Analysis Using Photoacoustic Imaging (PAI) with Machine Learning-Based Image Processing Techniques and Evaluating PAI-Based Internal Steel Crack Feasibility;Applied Sciences;2023-12-11

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