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- W2389476912 abstract "Intelligent and qualitative defect recognition problem in the ultrasonic non-destructive tests of welds has been a difficult problem to be solved properly.Wavelet packet transform technology is used to perform the noise reduction and extract characteristic value of defect echo signals.Separability criterion based on the distance and pattern recognition method for artificial neural network are then applied to perform automatic recognition and classification for them.Affer that,the intelligent defect recognition system for ultrasonic flaw detection of welds based on the MATLAB software is developed.It can achieve automatic collection,processing as well as intelligent recognition and classification of defect echo signals.The testing results show that both the characteristic value extraction method and the qualitative defect recognition method are effective." @default.
- W2389476912 created "2016-06-24" @default.
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- W2389476912 date "2009-01-01" @default.
- W2389476912 modified "2023-09-25" @default.
- W2389476912 title "Intelligent defect recognition methods in the ultrasonic non-destructive test of welds" @default.
- W2389476912 hasPublicationYear "2009" @default.
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