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Design of Automated Defectoscopy Systems Cover
Open Access
|Dec 2025

Figures & Tables

Fig. 1.

An examples of metal BR (bodies of rotation)
An examples of metal BR (bodies of rotation)

Fig. 2.

Typical surface defects BR
Typical surface defects BR

Fig. 3.

Distribution function of the variability vavi, j : Vmin – minimum acceptable value of sliding dispersion variability; Vmax – maximum acceptable value; ΔVmax – uncertainty range introduced for borderline classification cases; vavi, j – difference between local maximum and minimum coefficient of variation within the sliding window
Distribution function of the variability vavi, j : Vmin – minimum acceptable value of sliding dispersion variability; Vmax – maximum acceptable value; ΔVmax – uncertainty range introduced for borderline classification cases; vavi, j – difference between local maximum and minimum coefficient of variation within the sliding window

Fig. 4.

The input stream of bodies of revolution (BR) is classified into three categories: suitable (OK), defective (Defect), and undetermined (Pre-training). The undetermined group serves as an experimental base for additional supervised training. This classification allows the system to iteratively refine the decision boundary between suitable and defective BR through feedback-based adaptation
The input stream of bodies of revolution (BR) is classified into three categories: suitable (OK), defective (Defect), and undetermined (Pre-training). The undetermined group serves as an experimental base for additional supervised training. This classification allows the system to iteratively refine the decision boundary between suitable and defective BR through feedback-based adaptation
DOI: https://doi.org/10.2478/ama-2025-0069 | Journal eISSN: 2300-5319 | Journal ISSN: 1898-4088
Language: English
Page range: 611 - 616
Submitted on: Mar 5, 2025
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Accepted on: Nov 3, 2025
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Published on: Dec 19, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Łukasz LEMIESZEWSKI, Janusz SZYMCZYK, Evgeny OCHIN, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.