TY - GEN
T1 - Data processing method for thickness measurement using electromagnetic acoustic resonance
AU - Sun, Hongjun
AU - Urayama, Ryoichi
AU - Uchimoto, Tetsuya
AU - Udpa, Lalita
AU - Takagi, Toshiyuki
AU - Kobayashi, Kunihiro
N1 - Funding Information:
This work was partly supported by a Grant-in-Aid for JSPS Research Fellow under Grant Number JP 18J11863. Part of this study is the result of the “Piping System, Risk Management based on Wall Thinning Monitoring and Prediction” work carried out under the Center of World Intelligence Project for Nuclear S&T and Human Resource Development by the Ministry of Education, Culture, Sports, Science and Technology of Japan, and ANR of France.
Publisher Copyright:
© 2019 The authors and IOS Press. All rights reserved.
PY - 2019/11/25
Y1 - 2019/11/25
N2 - 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.
AB - 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.
KW - Autocorrelation function
KW - Electromagnetic acoustic resonance
KW - Multiplication of n compression
KW - Superposition of n compression
KW - Thickness measurement
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U2 - 10.3233/SAEM190002
DO - 10.3233/SAEM190002
M3 - Conference contribution
AN - SCOPUS:85082085786
T3 - Studies in Applied Electromagnetics and Mechanics
SP - 1
EP - 6
BT - Electromagnetic Nondestructive Evaluation XXII
A2 - Tamburrino, Antonello
A2 - Tamburrino, Antonello
A2 - Deng, Yiming
PB - IOS Press
T2 - 23rd International Workshop on Electromagnetic Nondestructive Evaluation, ENDE 2018
Y2 - 9 September 2018 through 13 September 2018
ER -