Conference proceeding
Probabilistic location estimation of acoustic emission sources in isotropic plates with one sensor
HEALTH MONITORING OF STRUCTURAL AND BIOLOGICAL SYSTEMS 2017, v 10170, pp 1017029-1017029-8
01 Jan 2017
Abstract
This paper presents a probabilistic acoustic emission (AE) source localization algorithm for isotropic plate structures. The proposed algorithm requires only one sensor and uniformly monitors the entire area of such plates without any blind zones. In addition, it takes a probabilistic approach and quantifies localization uncertainties. The algorithm combines a modal acoustic emission (MAE) and a reflection-based technique to obtain information pertaining to the location of AE sources. To estimate confidence contours for the location of sources, uncertainties are quantified and propagated through the two techniques. The approach was validated using standard pencil lead break (PLB) tests on an Aluminum plate. The results demonstrate that the proposed source localization algorithm successfully estimates confidence contours for the location of AE sources.
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Details
- Title
- Probabilistic location estimation of acoustic emission sources in isotropic plates with one sensor
- Creators
- Arvin Ebrahimkhanlou - The University of Texas at AustinSalvatore Salamone - The University of Texas at Austin
- Contributors
- T Kundu (Editor)
- Publication Details
- HEALTH MONITORING OF STRUCTURAL AND BIOLOGICAL SYSTEMS 2017, v 10170, pp 1017029-1017029-8
- Series
- Proceedings of SPIE
- Publisher
- Spie-Int Soc Optical Engineering
- Number of pages
- 8
- Grant note
- CMMI-1333506 / National Science Foundation (NSF)
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Civil, Architectural, and Environmental Engineering
- Web of Science ID
- WOS:000405960100060
- Scopus ID
- 2-s2.0-85020513461
- Other Identifier
- 991021890003104721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Engineering, Mechanical
- Materials Science, Multidisciplinary
- Physics, Applied