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Research on linear frequency modulation pulse compression in electromagnetic ultrasonic thickness measurement

  • Sheng Bin Wang*
  • , Shu Juan Wang
  • , Bao Liang
  • , Chuan Liu Jiang
  • , Chao Fan Zhao
  • , Wei Hang Zhou
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • Harbin Lingsheng Technology Ltd.

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

Abstract

The energy conversion efficiency of the electromagnetic ultrasonic transducer (EMAT) is extremely low. To solve this problem, this paper applied linear frequency modulation (LFM) pulse compression technology to electromagnetic ultrasonic thickness measurement to improve the signal-to-noise ratio. The EMAT excited by chirp signal was simulated by finite element analysis, and the echo signal obtained by the simulation was subjected to pulse compression. After adding noise, the result showed that the EMAT signal-to-noise ratio was increased more than 6dB compared with the echo signal excited by Toneburst signal. In addition, this paper also applied spectrum modification method to suppress the sidelobes of the output signal, further improving the signal-to-noise ratio by 1.6dB.

Original languageEnglish
Title of host publicationProceedings of 2020 IEEE Far East NDT New Technology and Application Forum, FENDT 2020
EditorsChunguang Xu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages145-149
Number of pages5
ISBN (Electronic)9781665440820
DOIs
StatePublished - 20 Nov 2020
Event2020 IEEE Far East Forum on Nondestructive Evaluation/Testing: New Technology and Application, FENDT 2020 - Nanjing, China
Duration: 20 Nov 202022 Nov 2020

Publication series

NameProceedings of 2020 IEEE Far East NDT New Technology and Application Forum, FENDT 2020

Conference

Conference2020 IEEE Far East Forum on Nondestructive Evaluation/Testing: New Technology and Application, FENDT 2020
Country/TerritoryChina
CityNanjing
Period20/11/2022/11/20

Keywords

  • EMAT
  • Pulse compression
  • Sidelobe suppression
  • Spectrum modification

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