• 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