2021
DOI: 10.1109/jsen.2021.3099877
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3-D Source Location by Neural Network for FBG Acoustic Emission Sensors

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Cited by 8 publications
(1 citation statement)
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“…They used the Morlet wavelet transform to enhance the features and simplify the identification of the velocity and time of arrival. Fu et al [155] trained an artificial neural network to analyze the complex non-linear relationship between the AE wave source location and the arrival time. They analyzed a 3-dimensional polymer bonded explosive structure.…”
Section: Acoustic Emissionmentioning
confidence: 99%
“…They used the Morlet wavelet transform to enhance the features and simplify the identification of the velocity and time of arrival. Fu et al [155] trained an artificial neural network to analyze the complex non-linear relationship between the AE wave source location and the arrival time. They analyzed a 3-dimensional polymer bonded explosive structure.…”
Section: Acoustic Emissionmentioning
confidence: 99%