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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