An artificial intelligence approach to fatigue crack length estimation from acoustic emission waves in thin metallic plates

JC Garrett, H Mei, V Giurgiutiu - Applied Sciences, 2022 - mdpi.com
The acoustic emission (AE) technique has become a well-established method of monitoring
structural health over recent years. The sensing and analysis of elastic AE waves, which …

Analytical and experimental study of fatigue-crack-growth ae signals in thin sheet metals

R Joseph, V Giurgiutiu - Sensors, 2020 - mdpi.com
The acoustic emission (AE) method is a very popular and well-developed method for
passive structural health monitoring of metallic and composite structures. AE method has …

Crack-length estimation for structural health monitoring using the high-frequency resonances excited by the energy release during fatigue-crack growth

R Joseph, H Mei, A Migot, V Giurgiutiu - Sensors, 2021 - mdpi.com
Acoustic waves are widely used in structural health monitoring (SHM) for detecting fatigue
cracking. The strain energy released when a fatigue crack advances has the effect of …

[HTML][HTML] Elastodynamics based Modelling of Acoustic Emission for Earlier Bearing Damage Detection

A Bhattacharyya, K Thyagarajan… - … Conference of the …, 2024 - papers.phmsociety.org
It is crucial for many applications to detect bearing damage as early as possible to allow for
scheduling of maintenance with lead times that minimize operational disruption. State of the …

An Acoustic Emission and Artificial Intelligence Approach to Structural Health Monitoring for Aerospace Application

JC Garrett - 2021 - search.proquest.com
In the area of aerospace and other applications, structural health monitoring (SHM) has
been a significant and growing area of research in recent years. Throughout the operational …