The need for multi-sensor data fusion in structural health monitoring of composite aircraft structures

AAR Broer, R Benedictus, D Zarouchas - Aerospace, 2022 - mdpi.com
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 …

[HTML][HTML] Acoustic emission data based deep learning approach for classification and detection of damage-sources in a composite panel

S Sikdar, D Liu, A Kundu - Composites Part B: Engineering, 2022 - Elsevier
Structural health monitoring for lightweight complex composite structures is being
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 …

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 …

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

D Li, Y Wang, WJ Yan, WX Ren - Structural Health …, 2021 - journals.sagepub.com
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 …

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 …

[HTML][HTML] Characterisation of damage mechanisms of GFRP-balsa sandwich under 4-point bending based on two-step clustering process in acoustic emission analysis

Y Wu, ML Pastor, M Perrin, P Casari, X Gong - Composites Part B …, 2023 - Elsevier
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 …

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 …

Wavelet entropy-based damage characterization and material phase differentiation in concrete using acoustic emissions

DK Samal, S Ray - Engineering Failure Analysis, 2024 - Elsevier
Damage evolution in concrete is a complex phenomenon involving micro-cracks that
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

M Saidi, A Gabor - Measurement, 2019 - Elsevier
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 …