Data processing method for thickness measurement using electromagnetic acoustic resonance

Hongjun Sun, Ryoichi Urayama, Tetsuya Uchimoto, Lalita Udpa, Toshiyuki Takagi, Kunihiro Kobayashi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The electromagnetic acoustic resonance (EMAR) method using an electromagnetic acoustic transducer (EMAT) has been proposed to perform pipe wall thickness measurements. However, in some parts of pipes, identification of the resonance frequency can be a difficult task. In this paper, a new data processing method called multiplication of nth compression (MNC) is proposed to determine the resonance frequency. The performance of the MNC method is compared with that of the previously used autocorrelation function (ACF) and superposition of nthcompression (SNC) methods in two experiments. Finally, a two-step data processing procedure for use in pipe wall thickness measurements is proposed. This procedure can improve the data processing accuracy.

Original languageEnglish
Title of host publicationElectromagnetic Nondestructive Evaluation XXII
EditorsAntonello Tamburrino, Antonello Tamburrino, Yiming Deng
PublisherIOS Press
Pages1-6
Number of pages6
ISBN (Electronic)9781643680408
DOIs
Publication statusPublished - 2019 Nov 25
Event23rd International Workshop on Electromagnetic Nondestructive Evaluation, ENDE 2018 - Detroit, United States
Duration: 2018 Sep 92018 Sep 13

Publication series

NameStudies in Applied Electromagnetics and Mechanics
Volume44
ISSN (Print)1383-7281
ISSN (Electronic)1879-8322

Conference

Conference23rd International Workshop on Electromagnetic Nondestructive Evaluation, ENDE 2018
CountryUnited States
CityDetroit
Period18/9/918/9/13

Keywords

  • Autocorrelation function
  • Electromagnetic acoustic resonance
  • Multiplication of n compression
  • Superposition of n compression
  • Thickness measurement

ASJC Scopus subject areas

  • Mechanical Engineering
  • Electrical and Electronic Engineering

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