The paper describes an automated ultrasonic pipe inspection system using LRUT technology. The topic is relevant because, in the current environment of automation and growth in non-destructive testing, there is a need for systems capable of performing such tasks effectively.
The relevance of the work lies in the need to improve the accuracy and reliability of defect detection in large-diameter pipelines using automated ultrasonic systems.
The aim of the work is to investigate the possibilities of using automated ultrasonic pipe inspection systems and to develop a system for the accurate detection of defects in large-diameter and long pipelines.
The tasks of the work include: analysis of modern methods of ultrasonic testing; development of an automated testing system using LRUT; ensuring constant acoustic contact between the test object and the sensors; modelling the operation of the system using modern software; assessment of the prospects for the implementation of the system on the national and international markets.
The object of the study is large-diameter pipelines.
The subject of the study is the processes of detecting defects in pipelines using ultrasonic technologies and automated control systems.
Research methods include mathematical and computer modelling, theoretical analysis of LRUT methods, experimental studies of the prototype system, and analysis of its performance under various conditions.
The scientific novelty of the work lies in the development of a methodology for integrating LRUT technology into automated control systems and double-window signal processing algorithms that improve the accuracy of real-time defect detection.
The practical significance lies in the possibility of using the developed system as a primary or auxiliary means of non-destructive testing of pipelines, as well as in its potential commercial implementation in domestic and international markets.
Thanks to the versatility of its algorithms, the developed system can be adapted to other defect detection methods with minimal changes.
Research advisor: H.Bohdan
