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Featured researches published by Grzegorz Psuj.


2013 Far East Forum on Nondestructive Evaluation/Testing: New Technology and Application | 2013

Electromagnetic system for nondestructive evaluation of train hollow axles

Tomasz Chady; Grzegorz Psuj; Jacek Kowalczyk; Ireneusz Spychalski

The structural integrity of train axles is one of the important factors for safety precautions in a railway industry. Most common techniques used nowadays in the railway industry for manual inspection are visual and magnetic particle techniques as well as ultrasound testing. In this paper, a novel system for electromagnetic inspection is proposed to meet the aforementioned requirements. The system consists of two subsystems and transducers dedicated for flux leakage and eddy current method. Results of measurements and evaluation of the transducers are provided.


Materials Science Forum | 2012

Observation of Material Degradation under Fatigue and Static Loading Condition Using Selected Electromagnetic NDT Methods

Grzegorz Psuj; Tomasz Chady; Masato Enokizono

The purpose of this paper is to present the results of observation of material degradation process in steel samples under combined conditions of static and cyclic dynamic loading, using selected electromagnetic NDT methods. To evaluate damages a Barkhausen noise observation, an AC magnetization, a magnetic flux leakage and eddy current method were used.


IEEE Transactions on Magnetics | 2017

Magnetic Field Multi-sensor Transducer for Detection of Defects in Steel Components

Grzegorz Psuj

In this paper, a transducer allowing nondestructive evaluation of material state in various directions is presented. The axial-symmetry transducer is using a matrix of vector magnetic field sensors. Each sensor is utilized for the observation of three orthogonal components. First, the construction is shown and the general performance is evaluated. Then, the data processing and integration algorithm for reconstruction of the signals is presented. Finally, the operation of the transducer is verified using a low-carbon steel plate having notches of different depths and aligned at various angles to the scanning axis. The results are presented and discussed.


Advances in Materials Science and Engineering | 2016

Nondestructive Inspection of Thin Basalt Fiber Reinforced Composites Using Combined Terahertz Imaging and Infrared Thermography

Przemyslaw Lopato; Grzegorz Psuj; Barbara Szymanik

The inspection of thin basalt fiber reinforced composite materials was carried out using two nondestructive methods: terahertz time domain imaging and infrared thermography. In order to combine the information about the defects arising in examined materials the inspection results were parametrized. In order to acquire more information content, new approximation based features are proposed. Then, a knowledge extraction based multivariate analysis of preselected features’ vector was carried out. Finally, in order to integrate features distributions of representing different dynamic level of information, a multiresolution wavelet based data fusion algorithm was applied. The results are presented and discussed.


IEEE Transactions on Magnetics | 2011

Eddy Current Transducer for Evaluation of Inhomogeneity in Titanium Billets

Tomasz Chady; Jacek Kowalczyk; Grzegorz Psuj

An effective method for inspection of billets made of titanium alloy is proposed. Two nondestructive testing (NDT) techniques were utilized: phase array ultrasonic testing (PA) and eddy current testing (ECT). In this paper, results obtained by ECT method will be shown and discussed. A dedicated transducer was introduced and optimized. The results of numerical simulations as well as measurements will be shown and discussed.


2017 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering (ISEF) Book of Abstracts | 2017

Application of deep learning procedure to magnetic multi-sensor matrix transducer data for the need of defect characterization in steel elements

Grzegorz Psuj; Mateusz Biernacki; Kacper Kruczynski

In this paper a machine learning algorithm was applied to analyze the integrated data responses of magnetic multi-sensor matrix transducer. In order to proceed the algorithm, a large database was prepared considering measurement as well as simulation results. A finite element method was utilized to conduct a numerical calculation and provide transducers response signals for the various configurations of defects. The deep artificial neural network was used for implementation of machine learning algorithm and then the model was verified.


Quantitative InfraRed Thermography | 2016

Infrared and electromagnetic inspection of steel structures under load

Barbara Szymanik; Grzegorz Psuj

Abstract This paper presents in detail the experimental methodologies and the results of the infrared investigation of steel samples under load. Moreover, the second electromagnetic method (EM) for nondestructive evaluation was used to monitor the fatigue process. The infrared thermography allows one to observe the global condition of the material, while the EM carries out local, detailed examination of the fatigue stage in the critical region. The presented inspection results are compared and discussed.


Przegląd Elektrotechniczny | 2016

Fatigue Monitoring of Steel Structures using Electromagnetic and Infrared Thermography Inspection Methods

Grzegorz Psuj; Barbara Szymanik

Two nondestructive methods are used for monitoring of fatigue process in steel samples under cyclic loading: the infrared thermography (IRT) and electromagnetic (EM). The IRT allows to observe the general global condition of the material while the EM to carry out local, detail examination of the fatigue stage in critical region. Both methods have different physical basics what allows to obtain a wider range of information about the state of the structure. Streszczenie. W pracy wykorzystano dwie nieniszczące metody badan do monitorowania procesu zmeczeniowego stalowych probek poddanych obciązeniom cyklicznym: metode termografii podczerwonej (IRT)j i elektromagnetyczną (EM). Metoda IRT umozliwia obserwacje globalnego stanu badanego materialu natomiast metoda EM pozwala na dokladną lokalną inspekcje stanu zmeczeniowego obszarow krytycznych. Z uwagi na fakt wykorzystywania odmiennych wlaściwości fizycznych do pośredniej obserwacji stanu struktury przez obie metody mozliwe jest uzyskanie szerszego zakresu komplementarnych informacji o zmianach zmeczeniowych. Dwie nieniszczące metody badan do monitorowania procesu zmeczeniowego stalowych probek poddanych obciązeniom cyklicznym:


REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION: Volume 30A; Volume 30B | 2011

INTELLIGENT SYSTEM FOR RADIOGRAM ANALYSIS

Ryszard Sikora; Tomasz Chady; Piotr Baniukiewicz; P. Łopato; Lech Napierala; Tomasz Pietrusewicz; Grzegorz Psuj; B. Piekarczyk

In this paper we present a concept for an Intelligent System for Radiogram Analysis (ISAR) for welds quality inspection. Both, hardware and software solutions have been introduced in the system. The software operates with variety of scanner standards. It contains preliminary image processing (linear and nonlinear filtering algorithms) and some specialized functions, like Sauvola’s tresholding or IQI detection. The aim of the ISAR system is to support a radiologist in his work.


REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION VOLUME 29 | 2010

COMPARATIVE ANALYSIS OF SELECTED EDDY CURRENT TRANSDUCERS FOR TITANIUM ALLOY EVALUATION

Tomasz Chady; Ryszard Sikora; Piotr Baniukiewicz; Przemyslaw Lopato; Jacek Kowalczyk; Grzegorz Psuj; M. Caryk

Titanium alloy based details due to their mechanical properties continue to be in extensive use in various structures (mainly aerospace, automotive and petro‐chemical industrial applications). In this paper comparative study of various types of eddy current NDT transducers for testing titanium elements was done. Probes of absolute, differential and array configurations were constructed and analyzed. Two and three dimensional numerical analysis (FEM) were done in order to find the best type and configuration of the proposed transducers.

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Tomasz Chady

West Pomeranian University of Technology

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Barbara Szymanik

West Pomeranian University of Technology

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Jacek Kowalczyk

West Pomeranian University of Technology

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Michal Maciusowicz

West Pomeranian University of Technology

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Piotr Baniukiewicz

West Pomeranian University of Technology

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Przemyslaw Lopato

West Pomeranian University of Technology

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Ryszard Sikora

West Pomeranian University of Technology

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Przemysław Łopato

West Pomeranian University of Technology

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Lech Napierala

West Pomeranian University of Technology

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Michał Herbko

West Pomeranian University of Technology

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