The need for multi-sensor data fusion in structural health monitoring of composite aircraft structures
With the increased use of composites in aircraft, many new successful contributions to the
advancement of the structural health monitoring (SHM) field for composite aerospace …
advancement of the structural health monitoring (SHM) field for composite aerospace …
[HTML][HTML] Acoustic emission data based deep learning approach for classification and detection of damage-sources in a composite panel
Structural health monitoring for lightweight complex composite structures is being
investigated in this paper with a data-driven deep learning approach to facilitate automated …
investigated in this paper with a data-driven deep learning approach to facilitate automated …
Failure mechanisms and acoustic responses of cylindrical lithium-ion batteries under compression loadings
Z Huang, X Zhang, N Liu, L Gu, L An, W Zhou - Engineering Failure …, 2024 - Elsevier
To understand the crashworthiness safety of lithium-ion battery (LIB) comprehensively,
acoustic emission (AE) testing technology is introduced to explore the mechanical response …
acoustic emission (AE) testing technology is introduced to explore the mechanical response …
Spatial-temporal graph convolutional networks (STGCN) based method for localizing acoustic emission sources in composite panels
Z Zhao, NZ Chen - Composite Structures, 2023 - Elsevier
A novel spatial–temporal graph convolutional networks (STGCN) based method for the
regression task of localizing acoustic emission (AE) sources in composite panels is …
regression task of localizing acoustic emission (AE) sources in composite panels is …
Acoustic emission wave classification for rail crack monitoring based on synchrosqueezed wavelet transform and multi-branch convolutional neural network
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 …
accurate and comprehensive rail crack monitoring in the field typically with complex cracking …
Deep learning approach for damage classification based on acoustic emission data in composite materials
F Guo, W Li, P Jiang, F Chen, Y Liu - Materials, 2022 - mdpi.com
Damage detection and the classification of carbon fiber-reinforced composites using non-
destructive testing (NDT) techniques are of great importance. This paper applies an acoustic …
destructive testing (NDT) techniques are of great importance. This paper applies an acoustic …
[HTML][HTML] Characterisation of damage mechanisms of GFRP-balsa sandwich under 4-point bending based on two-step clustering process in acoustic emission analysis
This work focuses on the characterisation of damage mechanisms of GFRP-balsa sandwich
under static 4-point bending by coupling Acoustic Emission (AE) monitoring and post …
under static 4-point bending by coupling Acoustic Emission (AE) monitoring and post …
Deep transfer learning approach for localization of damage area in composite laminates using acoustic emission signal
J Zhao, W Xie, D Yu, Q Yang, S Meng, Q Lyu - Polymers, 2023 - mdpi.com
Intelligent composite structures with self-aware functions are preferable for future aircrafts.
The real-time location of damaged areas of composites is a key step. In this study, deep …
The real-time location of damaged areas of composites is a key step. In this study, deep …
Wavelet entropy-based damage characterization and material phase differentiation in concrete using acoustic emissions
Damage evolution in concrete is a complex phenomenon involving micro-cracks that
originate from different material phases (mortar matrix, ITZ and aggregate), and culminate …
originate from different material phases (mortar matrix, ITZ and aggregate), and culminate …
Use of distributed optical fibre as a strain sensor in textile reinforced cementitious matrix composites
This study focused on using optical fibres embedded into the core of textile reinforced
cementitious matrix composites (TRCMCs) as strain sensors. These composites have been …
cementitious matrix composites (TRCMCs) as strain sensors. These composites have been …