БАГАТОСТУПЕНЕВА ФІЛЬТРАЦІЯ ТА БАГАТОПАРАМЕТРИЧНА КЛАСТЕРИЗАЦІЯ ПОДІЙ АЕ

Autor: Недосєка, С. А., Недосєка, А. Я., Яременко, М. А., Овсієнко, М. А., Бойчук, О. І.
Zdroj: Technical Diagnostics & Nondestructive Testing / Tekhnicheskaya Diagnostika I Nerazrushayushchiy Kontrol; 2023, Issue 4, p26-32, 7p
Abstrakt: Application of acoustic emission testing method and technical diagnostics systems of EMA family in critical industrial facilities allowed not only quickly obtaining information on their technical condition, but also improving the methodological approaches to data processing, based on the derived data, as well as control equipment and its software. This paper presents the results of the conducted analysis of the problem of filtering and optimal parameters of AE data clustering and verifying the effectiveness of the selected clustering methods on samples and structure elements. 5 Ref., 17 Fig. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index