Cited by 141Ultrasonics and Acoustic Wave PropagationStructural Engineering and Materials AnalysisStructural Health Monitoring Techniques

A generalizable deep learning framework for localizing and characterizing acoustic emission sources in riveted metallic panels

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Ebrahimkhanlou, Arvin, Dubuc, Brennan, Salamone, Salvatore·2019·Mechanical Systems and Signal Processing

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Crossref · 10.1016/j.ymssp.2019.04.050

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  • Stacking self-encoders with progressive compression of input AE waveform implemented AE source localization capable of localizing AE sources at arbitrary locations on the board.

    “Ebrahimkhanlou et al. [80] implemented AE source localization by stacking self-encoders with progressive compression of the input AE waveform. Coordinate localization or area localization was performed through regression or softmax layers, capable of localizing AE sources at arbitrary locations on the board.”

    From Deep Learning for Structural Health Monitoring: Data, Algorithms, Applications, Challenges, and Trends (2023) · cites this paper as [80]

    Section 2 describes stacked autoencoders that progressively compress a wavelet-derived representation of AE waveforms; regression predicts source coordinates, while softmax classifies source zones. The paper reports coordinate-localization results for sources away from rivets, tested at grid locations (Section 3; Figure 10 caption). It does not establish coordinate localization at arbitrary locations across the entire panel, including near rivets. (LLM, conf=0.86)

    Experimental — accuracy not yet measured
  • The main applications of AE-based SHM are fatigue crack localization in metal plates, damage localization in composite panels, and concrete crack detection.

    “The main applications are fatigue crack localization in metal plates [80,81,147], damage localization in composite panels [19], and concrete crack detection [62].”

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Authors
Ebrahimkhanlou, A., Dubuc, B., & Salamone, S.
Affiliations
The University of Texas at Austin (US)
Corresponding author
  • Ebrahimkhanlou, Arvin
  • Salamone, Salvatore
Venue
Mechanical Systems and Signal Processing
Publisher
Elsevier BV
Published
2019-09
Volume
130
Pages
248-272
ISSN
0888-3270 (ISSN-L)
OpenAlex
W2945697543
Cited by
141
References
36
Citations by year
2026: 11 · 2025: 18 · 2024: 25 · 2023: 24 · 2022: 16 · 2021: 24 · 2020: 18 · 2019: 5
FWCI
9.03
Type
journal article
Language
en
Open access
Locations
Mechanical Systems and Signal Processing (acceptedVersion)
Funders
Office of Naval Research
Topics
  • Physical Sciences › Engineering › Mechanics of Materials › Ultrasonics and Acoustic Wave Propagation
  • Physical Sciences › Engineering › Civil and Structural Engineering › Structural Engineering and Materials Analysis
  • Physical Sciences › Engineering › Civil and Structural Engineering › Structural Health Monitoring Techniques
Keywords
acoustic emission source localization, stacked autoencoder, structural health monitoring, plate structures, aluminum panels

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