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Non-destructive detection of thin micro-defects in glass reinforced polymer composites using a terahertz electro–magnetic wave based on a convolution neural network

Heon-Su Kim, Heon-Su Kim, Dong-Woon Park, Sang-Il Kim, Gyung-Hwan Oh, Gyung-Hwan Oh, Hak-Sung Kim, Hak‐Sung Kim

2023Composites Part B Engineering46 citationsDOI

Topics & Concepts

Fibre-reinforced plasticMaterials scienceTerahertz radiationConvolution (computer science)Composite materialSIGNAL (programming language)Convolutional neural networkGlass fiberNondestructive testingComposite numberShort-time Fourier transformFourier transformAcousticsArtificial neural networkComputer scienceArtificial intelligenceFourier analysisOptoelectronicsMathematicsPhysicsMathematical analysisQuantum mechanicsProgramming languageTerahertz technology and applicationsUltrasonics and Acoustic Wave PropagationThermography and Photoacoustic Techniques
Non-destructive detection of thin micro-defects in glass reinforced polymer composites using a terahertz electro–magnetic wave based on a convolution neural network | Litcius