Kenzo Miya

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This study demonstrates superposing several eddy current distributions enables one to size defects much deeper than the depth of penetration from eddy current signals. A probe developed in an earlier study of the authors is utilized for the demonstration. The probe consists of four large exciters and one detector; the uniqueness of the probe is to realize(More)
The paper presents a novel electromagnetic nondestructive evaluation method. In this method, a permanent magnet is utilized to generate a static magnetic field and a pickup coil with several hundred turns is used to detect the eddy current induced inside the rotating machinery. Aluminum flat plate with four EDM cracks is placed in a small-size water pump(More)
This paper presents a Neural Network (NN) based scheme for sizing and classification of defects in Steam Generator (SG) tubes of ferromagnetic material from both measured and simulated Remote Field Eddy Current Testing (RFECT) signals. A novel 2D-3D hybrid database approach of edge FEM method is applied for the rapid computation of RFECT signals due to(More)
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