Журнал Российского общества по неразрушающему контролю и технической диагностике
The journal of the Russian society for non-destructive testing and technical diagnostic
 
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14 | 06 | 2026
2026, 06 June

DOI: 10.14489/td.2026.06.pp.004-013

Bazulin A. E.
DATA QUALITY CRITERIA FOR ULTRASONIC NON-DESTRUCTIVE TESTING
(pp. 4-13)

Abstract. This paper systematizes and examines in detail the quality criteria for raw data obtained during ultrasonic non-destructive testing (UT) using modern technologies such as phased arrays, the Time-of-Flight Diffraction technique, and the Total Focusing Method. The aim of this work is to create a comprehensive list of objective and automatically verifiable criteria applicable both to software developers and customers for auditing inspection results. The proposed criteria cover key aspects: data completeness and continuity, correctness of equipment settings, quality of acoustic coupling, signal-to-noise ratio, equipment serviceability, as well as metadata (calibration, georeferencing). Special attention is paid to the possibility of automating the verification of these parameters, exemplified by the software of the AUGUR series flaw detectors, which allows for the prompt identification of defects and minimizes financial losses associated with re-inspection. It is concluded that automatic data validation immediately after acquisition is technically feasible. Criteria related to the analysis of acoustic coupling and noise are identified as the most challenging to automate, setting directions for future research, including the application of machine learning methods. The implementation of the proposed criteria system will increase confidence in UT results and contribute to the development of industry standards in the field of non-destructive testing digitalization.

Keywords: ultrasonic testing (UT), automated ultrasonic testing (AUT), mechanized ultrasonic testing (MUT), data quality, Time-of-Flight Diffraction (TOFD).

A. E. Bazulin (LLC “Research and Production Center “ECHO+”, Moscow, Russia) E-mail: Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.  

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