DocumentCode :
503222
Title :
Application of fuzzy pattern recognition in felting quality ultrasonic detection of composite material
Author :
Zhang, Pengfei ; Zhou, Runjing
Author_Institution :
Coll. of Electron. Inf. Eng., Inner Mongolia Univ., Hohhot, China
fYear :
2009
fDate :
16-19 Aug. 2009
Abstract :
Base on the signal of composite material felting quality in ultrasonic detection, the detection principle of ultrasonic pulse reflection echo method and the transmitting process of ultrasonic in two types of medium that is made by different material are analyzed in detail. Echo signal of detection ultrasonic carries the information of interface felting quality. The fuzzy pattern recognition method is used for felting quality recognition in this paper. By analyzing the characteristic of time and frequency domain of echo signal, attenuation coefficient, signal energy and amplitudes are calculated as characteristic values, and a fuzzy pattern recognition algorithm is designed to judge felting quality by the principle of choosing the nearest. Experimental results show that the algorithm is precise for recognition of felting quality.
Keywords :
acoustic signal processing; composite materials; echo; fuzzy set theory; pattern recognition; ultrasonic absorption; ultrasonic materials testing; attenuation coefficient; composite material felting quality; echo signal; fuzzy pattern recognition; interface felting quality; signal amplitudes; signal energy; ultrasonic detection; ultrasonic pulse reflection echo method; ultrasonic transmitting process; Algorithm design and analysis; Attenuation; Composite materials; Frequency domain analysis; Pattern analysis; Pattern recognition; Reflection; Signal analysis; Signal detection; Signal processing; felting defect; fuzzy pattern recognition; ultrasonic detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3863-1
Electronic_ISBN :
978-1-4244-3864-8
Type :
conf
DOI :
10.1109/ICEMI.2009.5274190
Filename :
5274190
Link To Document :
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