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FRACTAL DIMENSION ANALYSIS FOR ASSESSING THE HEALTH CONDITION OF A TRUSS STRUCTURE USING VIBRATION SIGNALS.
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- Fractals, 2020, v. 28, n. 7, p. N.PAG, doi. 10.1142/S0218348X20501273
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Fractality–Autoencoder-Based Methodology to Detect Corrosion Damage in a Truss-Type Bridge.
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- Infrastructures, 2024, v. 9, n. 9, p. 145, doi. 10.3390/infrastructures9090145
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- Article
Location of Multiple Damage Types in a Truss-Type Structure Using Multiple Signal Classification Method and Vibration Signals.
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- Mathematics (2227-7390), 2020, v. 8, n. 6, p. 932, doi. 10.3390/math8060932
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- Article
Analysis of Acoustic Emission Signals Processed with Wavelet Transform for Structural Damage Detection in Concrete Beams.
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- Mathematics (2227-7390), 2023, v. 11, n. 3, p. 719, doi. 10.3390/math11030719
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- Article
Wavelet Energy Accumulation Method Applied on the Rio Papaloapan Bridge for Damage Identification.
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- Mathematics (2227-7390), 2021, v. 9, n. 4, p. 422, doi. 10.3390/math9040422
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- Article
Weld acoustic emission inspection of structural elements embedded in concrete.
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- Science Progress, 2022, v. 105, p. 1, doi. 10.1177/00368504221075482
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- Article
Entropy Wavelet-Based Method to Increase Efficiency in Highway Bridge Damage Identification.
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- Applied Sciences (2076-3417), 2024, v. 14, n. 8, p. 3298, doi. 10.3390/app14083298
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- Article
A Shannon Entropy-Based Methodology to Detect and Locate Cables Loss in a Cable-Stayed Bridge.
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- International Journal of Applied Mechanics, 2021, v. 13, n. 5, p. 1, doi. 10.1142/S1758825121500630
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- Article
A New Damage Index Based on Statistical Features, PCA, and Mahalanobis Distance for Detecting and Locating Cables Loss in a Cable-Stayed Bridge.
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- International Journal of Structural Stability & Dynamics, 2021, v. 21, n. 9, p. 1, doi. 10.1142/S0219455421501273
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- Article
Convolutional Neural Network-Based Methodology for Detecting, Locating and Quantifying Corrosion Damage in a Truss-Type Bridge Through the Autocorrelation of Vibration Signals.
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- Arabian Journal for Science & Engineering (Springer Science & Business Media B.V. ), 2023, v. 48, n. 2, p. 1119, doi. 10.1007/s13369-022-06731-7
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- Article