Study of Signal Processing for EMAT

Yoshihiro Nishimura; Sasamoto Akira; Takayuki Suzuki

doi:10.4028/www.scientific.net/MSF.670.345

Paper Titles

An Enhanced Multigrid Method for Fast Numerical Computation of the Magnetic Vector Potential
p.311

Evaluation of Hexahedral Mesh Quality for Finite Element Method in Electromagnetics
p.318

Improvements of Feedback Control Algorism in Two-Dimensional Vector Magnetic Property Measurements
p.327

Identification of Conductivity Distribution Using Eddy Current Tomography System and Artificial Neural Networks
p.336

Study of Signal Processing for EMAT
p.345

Magneto-Elastic Bilayers for Sleep Apnea Monitoring
p.355

Estimation of Magnetization Distribution in Permanent Magnet of Brushless DC Motor
p.360

Two-Degree-of-Freedom Control of an Ionic Polymer-Metal Composite Actuator
p.369

Optimal Design of the Electro-Magnetic Actuator for High Voltage Circuit Breaker
p.381

HomeMaterials Science ForumMaterials Science Forum Vol. 670Study of Signal Processing for EMAT

Study of Signal Processing for EMAT

Abstract:

EMAT using a magnetostrictive effect was employed to detect flaws in the sample with scaled surface. Chromium molybdenum steel samples were annealed from 600 °C to 900°C for two hours to eight hours and subjected to EMAT to survey its signal properties. The signal output was found to have too much noise to identify internal flaws and to reconstruct flaw images in a computer. This study proposes spectrum analysis methods and statistical methods based on the noise probability to decrease this noise.

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Periodical:

Materials Science Forum (Volume 670)

Pages:

345-354

DOI:

https://doi.org/10.4028/www.scientific.net/MSF.670.345

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Online since:

December 2010

Authors:

Yoshihiro Nishimura, Sasamoto Akira, Takayuki Suzuki

Keywords:

EMAT, Fast Fourier Transform (FFT), Image Reconstruction, Magnetic Property, Ultra Sound, UT

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References

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DOI: 10.3233/jae-2008-973

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