Proceedings of the 2015 International Conference on Modeling, Simulation and Applied Mathematics 2015
DOI: 10.2991/msam-15.2015.51
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Rapid Defects Features Extract Techniques with Chirp Signal in Plate Structures

Abstract: Abstract-This work presents a convenience means to get defects features with linear chirp signal and demonstrate it with finite element method and BP neural networks. Aluminum plate models with various kinds of defects modeling with numerical simulation software ABAQUS to get pattern recognition samples.In order to acquire tone burst responses at a wide range of frequencies, we take chirp signals as excitation. The defects scattering signals, which would be used to build sample library, are extracted from the … Show more

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“…The theory behind the method is described by Michaels et al [6]. The method has been used with a single transducer pair in [6] to determine the best frequency and number of cycles for mode purity, the delay and sum method in [7] whilst [8] used the technique with the finite element method and a back propagation neural networks to extract features from defects.…”
Section: Introductionmentioning
confidence: 99%
“…The theory behind the method is described by Michaels et al [6]. The method has been used with a single transducer pair in [6] to determine the best frequency and number of cycles for mode purity, the delay and sum method in [7] whilst [8] used the technique with the finite element method and a back propagation neural networks to extract features from defects.…”
Section: Introductionmentioning
confidence: 99%