インバリアント分析技術(SIAT)を利用した非破壊検査の高度化
概要
In non-destructive inspection, the probability of abnormality finding in image diagnosis, ECT inspection and so on depends mostly on skills of individuals. Therefore, training of inspectors is an important issue in the maintenance and management of facilities. This study aims at improving accuracy in nondestructive inspection by applying System Invariant Analysis Technology (SIAT) which is one of big data analysis techniques. The feasibility is confirmed by the experiment using ECT this time and it is reported here.
