深層学習を用いたECT信号からのキズ深さ同定


英字タイトル:
Flaw Depth Identification from ECT Signal Using Deep Learning
著者:
出町 和之 堀 智之 (東京大)
発刊日:
公開日:
カテゴリ: 第16回
キーワードタグ:

概要

A deep learning model has been proposed to estimate flaw depth from ECT signals. The applicability of deep learning to data mixed with unknown parameters for defects was verified. The applicability of deep learning to data assuming lift-off fluctuation during measurement was verified.


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