Acoustic emission source localization based on distance domain signal representation

M. Gawronski; K. Grabowski; P. Russek; W. J. Staszewski; T. Uhl; P. Packo

doi:10.1117/12.2219044

1 April 2016 Acoustic emission source localization based on distance domain signal representation

M. Gawronski, K. Grabowski, P. Russek, W. J. Staszewski, T. Uhl, P. Packo

Proceedings Volume 9805, Health Monitoring of Structural and Biological Systems 2016; 98050I (2016) https://doi.org/10.1117/12.2219044
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2016, Las Vegas, Nevada, United States

Abstract

Acoustic emission is a vital non-destructive testing technique and is widely used in industry for damage detection, localisation and characterization. The latter two aspects are particularly challenging, as AE data are typically noisy. What is more, elastic waves generated by an AE event, propagate through a structural path and are significantly distorted. This effect is particularly prominent for thin elastic plates. In these media the dispersion phenomenon results in severe localisation and characterization issues. Traditional Time Difference of Arrival methods for localisation techniques typically fail when signals are highly dispersive. Hence, algorithms capable of dispersion compensation are sought. This paper presents a method based on the Time - Distance Domain Transform for an accurate AE event localisation. The source localisation is found through a minimization problem. The proposed technique focuses on transforming the time signal to the distance domain response, which would be recorded at the source. Only, basic elastic material properties and plate thickness are used in the approach, avoiding arbitrary parameters tuning.

Citation Download Citation

M. Gawronski, K. Grabowski, P. Russek, W. J. Staszewski, T. Uhl, and P. Packo "Acoustic emission source localization based on distance domain signal representation", Proc. SPIE 9805, Health Monitoring of Structural and Biological Systems 2016, 98050I (1 April 2016); https://doi.org/10.1117/12.2219044

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