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Michał Maciusowicz
Michał Maciusowicz
Zweryfikowany adres z zut.edu.pl
Tytuł
Cytowane przez
Cytowane przez
Rok
Use of time-dependent multispectral representation of Magnetic Barkhausen Noise signals for the needs of non-destructive evaluation of steel materials
M Maciusowicz, G Psuj
Sensors 19 (6), 1443, 2019
232019
Evaluation of stress in steel structures using electromagnetic methods based on utilization of microstrip antenna sensor and monitoring of AC magnetization process
P Łopato, G Psuj, M Herbko, M Maciusowicz
Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska, 2016
182016
Time-frequency analysis of barkhausen noise for the needs of anisotropy evaluation of grain-oriented steels
M Maciusowicz, G Psuj
Sensors 20 (3), 768, 2020
162020
Multimodal fatigue progress monitoring of construction steel elements
B Szymanik, G Psuj, P Lopato, M Maciusowicz, M Herbko
Arch. QIRT 2016, 297-305, 2016
112016
Analysis of time-frequency representation of Magnetic Barkhausen noise for the need of damage evaluation of steels elements
G Psuj, M Maciusowicz
2018 International Interdisciplinary PhD Workshop (IIPhDW), 108-110, 2018
72018
Identification of Grain Oriented SiFe Steels Based on Imaging the Instantaneous Dynamics of Magnetic Barkhausen Noise Using Short-Time Fourier Transform and Deep Convolutional …
M Maciusowicz, G Psuj, P Kochmański
Materials 15 (1), 118, 2022
62022
Use of Time-Frequency Representation of Magnetic Barkhausen Noise for Evaluation of Easy Magnetization Axis of Grain-Oriented Steel
M Maciusowicz, G Psuj
Materials 13 (15), 3390, 2020
62020
Influence of measurement conditions on the magnetic Barkhausen noise properties
G Psuj, M Maciusowicz, P Chudzik
2018 International Interdisciplinary PhD Workshop (IIPhDW), 326-329, 2018
42018
Classification of Grain-Oriented Electrical Steel Sheets by Magnetic Barkhausen Noise Using Time-Frequency Analysis and Selected Machine Learning Algorithms
M Maciusowicz, G Psuj
Applied Sciences 12 (23), 12469, 2022
22022
Analysis of the Possibility of Using Various Time-Frequency Transformation Methods to Barkhausen Noise Characterization for the Need of Magnetic Anisotropy Evaluation in Steels
M Maciusowicz, G Psuj
Applied Sciences 11 (13), 6193, 2021
22021
Wielomodalne monitorowanie postępu zmian zmęczeniowych w stalowych elementach konstrukcji
G Psuj, B Szymanik, P Łopato, M Herbko, M Maciusowicz
Welding Technology Review 88 (10), 2016
22016
A System for Monitoring of Broadband FMR Phenomenon in Low-Carbon Steel Films Subjected to Deformations
G Psuj, P Lopato, M Maciusowicz, M Herbko
Sensors 21 (13), 4301, 2021
12021
Time-frequency representation of magnetic Barkhausen noise under various measurement conditions
M Maciusowicz, G Psuj, P Chudzik
2019 International Interdisciplinary PhD Workshop (IIPhDW), 24-29, 2019
12019
Analysis of measurement conditions influence on the magnetic Barkhausen noise phenomenon
M Maciusowicz, G Psuj
Welding Technology Review 91, 2019
2019
Wykorzystanie zależnej od czasu widmowej reprezentacji sygnału szumu Barkhausena na potrzeby nieniszczącej oceny elementów stalowych
G Psuj, M Maciusowicz
Badania Nieniszczące i Diagnostyka, 2018
2018
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