The Process of Acquiring, Collecting, Processing and Archiving Data for the SHM System Designed to Identify Defects in Thin-Walled Structures

Journal of KONBiN

article

Tomasz Muchowski¹  Adam Szeleziński¹  Lech Murawski¹  Adam Muc¹  Marcin Kluczyk² 

[1] Gdynia Maritime University;Polish Naval Academy

关键词: Vibrations;    defects detection;    SHM;    neural network;    database;    private clouds;   

DOI  :  10.2478/jok-2022-0045

学科分类：工程和技术（综合）

来源: Instytut Techniczny Wojsk Lotniczych / Air Force Institute of Technology

【 摘 要 】

The article shows the results of the preparatory steps taken to create the artificial intelligence used in the automatic recognition of defects in ship thin-walled structures. The above steps are used to create a university private cloud and a computer system maintaining a dataset of vibration signal samples. In the article, a prototype of the private cloud was designed and developed, a model of the vibration sample was prepared, and a microservice was designed aimed at sharing the obtained data. The article demonstrates the results of the completed development.

【 授权许可】

Unknown