A review on guided-ultrasonic-wave-based structural health monitoring: From fundamental theory to machine learning techniques

Z Yang, H Yang, T Tian, D Deng, M Hu, J Ma, D Gao… - Ultrasonics, 2023 - Elsevier
The development of structural health monitoring (SHM) techniques is of great importance to
improve the structural efficiency and safety. With advantages of long propagation distances …

[HTML][HTML] A review of ultrasonic sensing and machine learning methods to monitor industrial processes

AL Bowler, MP Pound, NJ Watson - Ultrasonics, 2022 - Elsevier
Supervised machine learning techniques are increasingly being combined with ultrasonic
sensor measurements owing to their strong performance. These techniques also offer …

Towards a deep learning-based unified approach for structural damage detection, localisation and quantification

L Lomazzi, M Giglio, F Cadini - Engineering Applications of Artificial …, 2023 - Elsevier
Ultrasonic guided waves have been extensively employed for characterising structural
damage thanks to their sensitivity to defects. Although they are easy to excite and acquire …

On the explainability of convolutional neural networks processing ultrasonic guided waves for damage diagnosis

L Lomazzi, S Fabiano, M Parziale, M Giglio… - Mechanical Systems and …, 2023 - Elsevier
Among the maintenance policies adopted to guarantee the safety of structures throughout
their service life, condition-based maintenance policies driven by structural health …

A multi-level damage classification technique of aircraft plate structures using Lamb wave-based deep transfer learning network

W Shao, H Sun, Y Wang, X Qing - Smart Materials and Structures, 2022 - iopscience.iop.org
Lamb wave-based damage detection is one of the most promising structural health
monitoring (SHM) technologies for aircraft structures. In this paper, a Lamb wave-based …

[HTML][HTML] Application of nonlinear lamb wave mixing method for residual stress measurement in metal plate

J Jiao, L Li, X Gao, Q Cheng, C He, B Wu - Chinese Journal of Mechanical …, 2023 - Springer
Harmonic nonlinear ultrasound can offer high sensitivity for residual stress measurements;
however, it cannot be used for local stress measurements at a point in space and exhibits …

[HTML][HTML] Fatigue crack evaluation with the guided wave–convolutional neural network ensemble and differential wavelet spectrogram

J Chen, W Wu, Y Ren, S Yuan - Sensors, 2021 - mdpi.com
On-line fatigue crack evaluation is crucial for ensuring the structural safety and reducing the
maintenance costs of safety-critical systems. Among structural health monitoring (SHM) …

An online stress monitoring strategy based on Wigner–Ville time–frequency energy extraction of single-frequency dual mode Lamb waves

W Shi, J Li, B Zhao, J Tan - Measurement, 2022 - Elsevier
In this paper, a new online uniaxial stress monitoring methodology has been developed.
Based on the acoustoelastic effect of Lamb waves, multimodal information at a single …

Uniaxial stress identification of steel components based on one dimensional-CNN and ultrasonic method

L Deng, S Xu, W Wang, C Xiang - Measurement, 2022 - Elsevier
The absolute stress of steel components is a key parameter in the construction and service
of steel structures. Traditional stress testing methods have drawbacks of high cost and low …

Fatigue damage detection and growth monitoring for composite structure using coda wave interferometry

HJ Lim, H Lee, T Skinner… - Structural Control and …, 2021 - Wiley Online Library
This paper presents the development of a fatigue damage detection and growth monitoring
technique based on coda wave interferometry (CWI) for composite structures. The time …