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Improved time-frequency distribution series for ultrasonic nondestructive evaluation

  • Xiuli Du*
  • , Yi Shen
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Time-frequency distribution series (TFDS) is introduced to represent ultrasonic signals, detect and locate defects, because TFDS can effectively decrease the cross-terms with a minimum degradation of the desired properties. Moreover, considering the time-frequency concentration of the time-frequency energy atoms, the improved TFDS reduces the computational complexity, which makes TFDS more practical. Both simulated and experimental ultrasonic signals are represented by TFDS and Wigner-Ville distribution (WVD) and their performance are compared in terms of cross-terms, resolution and the ability to character defects. Results show that TFDS has the advantages of characterizing and localizing defects in ultrasonic nondestructive evaluation.

Original languageEnglish
Title of host publicationIMTC'06 - Proceedings of the IEEE Instrumentation and Measurement Technology Conference
Pages2112-2115
Number of pages4
DOIs
StatePublished - 2006
EventIMTC'06 - IEEE Instrumentation and Measurement Technology Conference - Sorrento, Italy
Duration: 24 Apr 200627 Apr 2006

Publication series

NameConference Record - IEEE Instrumentation and Measurement Technology Conference
ISSN (Print)1091-5281

Conference

ConferenceIMTC'06 - IEEE Instrumentation and Measurement Technology Conference
Country/TerritoryItaly
CitySorrento
Period24/04/0627/04/06

Keywords

  • Defect location
  • Material characterization
  • Time-frequency analysis
  • Time-frequency distribution series
  • Ultrasonic signal

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