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Research on acoustic emission multi-parameter characteristics in the failure process of imitation steel fiber reinforced concrete

The Physics of Fluids, 2023
Studies of the damage process of fiber-reinforced concrete through acoustic emission are very significant for concrete structural health monitoring. In this study, three specifications of fiber concrete and one group of plain concrete were prepared to ...
Haotian Li   +5 more
semanticscholar   +1 more source

An Improved Method for Pipeline Leakage Localization With a Single Sensor Based on Modal Acoustic Emission and Empirical Mode Decomposition With Hilbert Transform

IEEE Sensors Journal, 2020
Due to its great convenience for inspection of pipelines under special conditions, leakage localization with a single acoustic emission (AE) sensor has attracted increasing attention.
Changhang Xu   +5 more
semanticscholar   +1 more source

Acoustic emission wave classification for rail crack monitoring based on synchrosqueezed wavelet transform and multi-branch convolutional neural network

Structural Health Monitoring, 2020
This study focuses on the acoustic emission wave classification for the sake of more accurate and comprehensive rail crack monitoring in the field typically with complex cracking conditions, high-operational noise, and mass data.
Dan Li, Yang Wang, W. Yan, W. Ren
semanticscholar   +1 more source

Damage detection using wavelet entropy of acoustic emission waveforms in concrete under flexure

Structural Health Monitoring, 2020
This work dives into the spectral realm of acoustic emission waveforms. The acoustic emission waveforms carry a footprint of source, its mechanism, and the information of the medium through which it travels.
N. Burud, J. Kishen
semanticscholar   +1 more source

Real-time distortion monitoring during fused deposition modeling via acoustic emission

Structural Health Monitoring, 2020
Fused deposition modeling is a popular technique for three-dimensional prototyping since it is cost-effective, convenient to operate, and environment-friendly.
Feng Li   +3 more
semanticscholar   +1 more source

A particle swarm optimization–support vector machine hybrid system with acoustic emission on damage degree judgment of carbon fiber reinforced polymer cables

Structural Health Monitoring, 2020
The feasibility of machine learning in damage degree judgment of carbon fiber reinforced polymer cables was first verified by the improved b-value method and wavelet packet spectrum analysis.
Jie Xu, Xuan Liu, Q. Han, Weixin Wang
semanticscholar   +1 more source

Review on acoustic emission source location, damage recognition and lifetime prediction of fiber-reinforced composites

Journal of Materials Science, 2023
Wei Zhou   +7 more
semanticscholar   +1 more source

Review of the Application of Acoustic Emission Technology in Green Manufacturing

International Journal of Precision Engineering and Manufacturing - Green Technology, 2023
Jiahao Liu   +3 more
semanticscholar   +1 more source

A Review on Application of Acoustic Emission Testing During Additive Manufacturing

Journal of nondestructive evaluation, 2023
P. Prem   +3 more
semanticscholar   +1 more source

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