Preprocessing ultrasonic scanning data by the use of Hopfield-style neural networksстатья
Статья опубликована в журнале из списка RSCI Web of Science
Статья опубликована в журнале из перечня ВАК
Статья опубликована в журнале из списка Web of Science и/или Scopus
Дата последнего поиска статьи во внешних источниках: 29 мая 2015 г.
Местоположение издательства:Road Town, United Kingdom
Первая страница:247
Последняя страница:249
Аннотация:Ultrasonic scanning with coherent data treatment by the method of acoustic holography is one of the most widely used methods of nondestructive testing of welded pipeline joints. In practice, raw data are usually highly noised and partly absent (due to the loose acoustic connection between the scanner and tested material). This results in performance degradation during further analysis. This paper describes a neural network system that makes it possible to remove noise in the raw data and to fill gaps in the ultrasonic data.