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Author:

Liu, Zenghua (Liu, Zenghua.) (Scholars:刘增华) | Yu, Fengxiang (Yu, Fengxiang.) | Song, Guorong (Song, Guorong.) | He, Cunfu (He, Cunfu.) (Scholars:何存富) | Wu, Bin (Wu, Bin.) (Scholars:吴斌)

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EI Scopus PKU CSCD

Abstract:

The reassignment method is a widespread approach in processing nonstationary signals for obtaining high aggregation and less overlapping components in time-frequency representations. Unfortunately, by using this traditional method, there exist some problems such as unavoidable overlapping components and low signal-to-noise ratio values. A novel time-frequency reassignment method based on nonparametric snakes is proposed for guided wave mode identification of steel strands. According to research results, it is clarified the proposed reassignment method based on nonparametric snakes can obtain high resolution time-frequency representations with significantly higher aggregation and improved signal-to-noise ratio compared with the short-time Fourier transform and traditional reassignment method. Furthermore, compared with group velocity dispersion curves in one of helical wires of the steel strand, the spectrogram provided by the proposed method can give the information of main ultrasonic guided wave modes and describe the trend of group velocity changes of these modes more accurately. Therefore, the proposed time-frequency reassignment method can provide a valuable basis for improving ultrasonic guided wave identification in different waveguides. © 2011 Journal of Mechanical Engineering.

Keyword:

Signal to noise ratio Ultrasonic waves Light velocity Guided electromagnetic wave propagation Group velocity dispersion

Author Community:

  • [ 1 ] [Liu, Zenghua]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Yu, Fengxiang]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Song, Guorong]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [He, Cunfu]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China
  • [ 5 ] [Wu, Bin]College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100124, China

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Source :

Journal of Mechanical Engineering

ISSN: 0577-6686

Year: 2011

Issue: 8

Volume: 47

Page: 47-53

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 15

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