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3D сканер для визначення геометрії об’єкту контролю

(КПІ ім. Ігоря Сікорського, 2019-06) Тасаж, Владислав Сергійович; Галаган, Роман Михайлович

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Ac sourcing current frequency influence on eddy-current testing

(Институт по механика-БАН, Институт по информационни и комуникационни технологии-БАН, 2014) Lysenko, Iuliia; Zakrevskyi, Oleksandr

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Advanced Eddy Current Methods For Evaluating Aviation Components

(Національний авіаційний університет, 2024-05) Lysenko, I.; Kuts, Y.; Mirchev, I.

The presentation provides guidelines for conducting eddy current non-destructive testing on components made of Al-Mg-Si alloy, a popular material in the aerospace industry due to its high mechanical properties and good corrosion resistance. Several potential defects may exist in such components, including internal voids or blowholes, cracks, corrosion, and inhomogeneities in the material's structure. Internal voids can occur during manufacturing, reducing mechanical strength and potentially leading to failure. Cracks may form due to stress or mechanical influences and can propagate, causing component failure. Corrosion may develop on the surface when exposed to aggressive environments or high humidity, weakening the components. Inhomogeneities arising during manufacturing or thermal treatments can affect mechanical properties and lead to failures.

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Advantages of Using Eddy Current Array for Detection and Evaluation of Defects in Aviation Components

(Bulgarian Society for NDT, 2023) Lysenko, Iuliia; Mirchev, Yordan; Levchenko, Oleksandr; Kuts, Yurii; Uchanin, Valentyn

This article examines the potential of Eddy Current Array (ECA) as a non-destructive testing (NDT) technique for aviation components. Experimental investigations were conducted using a specially prepared sample with various defects. The scanning results demonstrated ECA's enhanced detection sensitivity, high inspection speed, and ability to characterize defects. The study emphasizes the need to optimize the inspection process and utilize automated subsystems for signal filtration and result evaluation. The findings support the adoption of ECA as an effective NDT technique in the aviation industry, contributing to improved safety and reliability. This research provides valuable insights for the development of guidelines and standards, enhancing the overall efficiency of aviation inspections.

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Analysis of formation processes of informative features in eddy current probes with pulsed excitation mode

(NDT.net, 2023) Lysenko, I.; Kuts, Y.; Uchanin, V.; Protasov, A.

The modern pulsed eddy current (EC) technique for flaw detection in structure inspections of aircraft and automotive elements, or other responsible constructions is typically carried out in aperiodic mode. At the same time, the unstable characteristic points of the EC signal usually used as informative parameters can restrict the potential of this excitation mode due to influence measurement errors. The article considers an application of the pulsed EC method of NDT based on the oscillatory mode. To obtain the conditions concerned with different modes of EC probe response oscillations, an equivalent scheme of the “testing object – EC probe” system was developed. The conditions represent the signal formation process and allow analyzing it for impedance and differential probes. The obtained mathematical model of the probe signals allowed for the dependence of proposed signal parameters on the characteristics of the testing object to be evaluated due to simulation. According to this, the frequency and attenuation coefficient of natural oscillations are proposed as the informative parameters. Also, the simulation results are used for developing enhanced algorithmic software for determining and analyzing the EC signals. The proposed informative parameters are experimentally investigated using a set of specimens. The obtained experimental and simulation results are correlated and it confirms the possibility of the proposed methodology to enhance the inspection procedures related to the specimen’s parameters measurements as well as the detected defect sizing.

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Analysis of non-destructive methods for the testing of the powder materials physical and mechanical characteristics

(КПІ ім. Ігоря Сікорського, 2019-05) Bohdan, H. A.

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Application of Circular Statistics During Analysis of the Eddy Current Testing Signals

(КПІ ім. Ігоря Сікорського, 2019-05) Kuts, Y.; Lysenko, I.; Redka, M.; Kanosa, R.

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Application of passive optical athermalization method for thermal stabilization of IR optical systems characteristics

(КПІ ім. Ігоря Сікорського, 2023) Muraviov, O. V.

This article addresses the scientific problem of compensating for the effect of temperature on the image quality of dioptric three-component lenses used in infrared optoelectronic devices. The paper proposes the development of methods for synthesizing such systems and stabilizing their characteristics in the case of a homogeneous temperature distribution. The article discusses the use of the passive optical athermalization method for dioptric infrared three-component lenses. Additionally, the paper proposes a complex method for analyzing the effect of homogeneous temperature on the image quality characteristics of infrared lenses.

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Application of YOLOX deep learning model for automated object detection on thermograms

(2022-01-26) Skladchykov, Ivan; Momot, Andrii; Galagan, Roman; Bohdan, Halyna; Trotsiuk, Kateryna

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Automated Eddy Current System for Aircraft Structure Inspection

(Sciendo, 2023) Kuts, Yurii; Lysenko, Iuliia; Petryk, Valentyn; Malko, Volodymyr; Melnyk, Andrii

Aircraft part diagnostics are crucial during both production and maintenance, with eddy current non-destructive testing (ECNDT) being the method of choice due to its cost-effectiveness, informativeness,productivity, and reliability. ECNDT excels regardless of surface condition or coatings. It’s employed fordiagnosing various aircraft components, necessitating diverse transducer types, excitation modes, andadvanced signal processing. To improve ECNDT, this article explores integrating harmonic and impulseexcitation modes in a single tool to enhance informativeness. Building upon a wireless eddy current system,the authors propose a comprehensive method for processing and displaying information suitable for objectcondition monitoring systems. The system includes automated transducer mode control and experimentaldata processing algorithms. The constant expansion of tested objects and new materials underscoresthe need to enhance the theoretical foundations of eddy current non-destructive testing, refine signalprocessing techniques, and identify informative signs. This demands the development of new automatedECNDT tools, and this article offers a promising avenue for improvement. The results include model andexperimental tests of system components, showcasing the potential of this approach to enhance ECNDTeffectiveness, automation, and informativeness in the realm of aircraft part diagnostics.

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Automated Eddy Current System for Express Monitoring

(Bulgarian Society for NDT, 2022) Kuts, Yurii; Lysenko, Iuliia; Petryk, Valentyn; Protasov, Anatolii; Alexiev, Alexander

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Automated segmentation of ultrasound medical images using the Attention U-Net model

(2024) Momot, A.; Zaboluieva, M.; Galagan, R.

The article deals with the method of automated semantic segmentation of ultrasound medical images using the Attention U-Net deep learning model. The advantages of using Attention blocks in neural network architectures for segmentation tasks are analyzed. To test the described algorithms, the Breast Ultrasound Images training dataset was chosen. The method described in the article allows for automating the process of detecting and preliminary classification of breast tumors based on the analysis of ultrasound images. As a result of training the Attention U-Net model, the Mean IOU value of 49.2% was obtained on the test set. The network can automatically classify the detected neoplasm as benign or malignant with an F1 Score of 0.87. The results indicate the prospects of using the Attention U-Net model in the tasks of analyzing ultrasound medical images. Ways to further improve the considered method are proposed

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Automation of ultrasound breast cancer images classification using deep neural networks

(Sciences of Europe, 2022) Momot, Andrii; Galagan, Roman; Zaboluieva, Marta

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Deep learning automated data analysis of security infrared cameras

(2021) Momot, Andrii; Skladchykov, Ivan

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Deep Learning Automated System for Thermal Defectometry of Multilayer Materials

(2021) Momot, Andrii; Galagan, Roman; Gluhovskii, Victor

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Defectoscope Based on Modern Mobile Devices

(КПІ ім. Ігоря Сікорського, 2019) Petryk, Valentyn; Protasov, Anatolii; Петрик, Валентин Федорович; Протасов, Анатолій Георгійович

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Determination of Mechanical Properties of Paramagnetic Materials by Multi-frequency Method

(BSNDT, 2019) Kalenychenko, Yuriy; Bazhenov, Victor; Kalenychenko, Aleksandr; Koval, Viktor; Ratsebarskiy, Sergiy

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Eddy Current Array Testing of Steel Tube Profiles

(Bulgarian Society for NDT, 2023) Mirchev, Yordan; Lysenko, Iuliia; Borisov, Tsvetomir; Kovtun, Vadim; Chukachev, Pavel

This paper addresses testing longitudinal welded joint in a thin-walled tube using semi-automatic eddy current test system and flexible eddy current array probe. The system is by OLYMPUS (EVIDENT). These test results from artificially induced discontinuities have been compared and analysed relative to visual test results. The capability of the semi-automated eddy current system to detect discontinuities located on the inner surface of a 3.2 mm thick tube was studied.