Journal article
Acoustic emission source localization in thin metallic plates: A single-sensor approach based on multimodal edge reflections
Ultrasonics, v 78, pp 134-145
01 Jul 2017
PMID: 28347871
Abstract
This paper presents a new acoustic emission (AE) source localization for isotropic plates with reflecting boundaries. This approach that has no blind spot leverages multimodal edge reflections to identify AE sources with only a single sensor. The implementation of the proposed approach involves three main steps. First, the continuous wavelet transform (CWT) and the dispersion curves of the fundamental Lamb wave modes are utilized to estimate the distance between an AE source and a sensor. This step uses a modal acoustic emission approach. Then, an analytical model is proposed that uses the estimated distances to simulate the edge-reflected waves. Finally, the correlation between the experimental and the simulated waveforms is used to estimate the location of AE sources. Hsu-Nielsen pencil lead break (PLB) tests were performed on an aluminum plate to validate this algorithm and promising results were achieved. Based on these results, the paper reports the statistics of the localization errors. (C) 2017 Elsevier B.V. All rights reserved.
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Details
- Title
- Acoustic emission source localization in thin metallic plates: A single-sensor approach based on multimodal edge reflections
- Creators
- A. Ebrahimkhanlou - The University of Texas at AustinS. Salamone - The University of Texas at Austin
- Publication Details
- Ultrasonics, v 78, pp 134-145
- Publisher
- Elsevier
- Number of pages
- 12
- Grant note
- CMMI-1333506 / National Science Foundation; National Science Foundation (NSF)
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000401042900015
- Scopus ID
- 2-s2.0-85016006020
- Other Identifier
- 991021889915304721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Acoustics
- Radiology, Nuclear Medicine & Medical Imaging