APPLICATION OF IMAGE ANALYSIS TO THE IDENTIFICATION OF MASS INERTIA MOMENTUM IN ELECTROMECHANICAL SYSTEM WITH CHANGEABLE BACKLASH ZONE
Marcin TOMCZYK
tomczykmarcin@poczta.fm* Electrical School No. 1 in Krakow them. Silesian Insurgents, Kamieńskiego 49, 30-644 Kraków (Poland)
Anna PLICHTA
Cracow Univeristy of Technology, Faculty of Physics, Mathematics and Computer Science, Institute of Computer Science, Warszawska 24, 31-155 Kraków (Poland)
Mariusz MIKULSKI
State University of Applied Sciences in Nowy Sącz, Institute of Technology, Zamenhofa 1a, 33-300 Nowy Sącz (Poland)
Abstract
This paper presents a new method of identification of inertia moment of reduced masses on a shaft of an induction motor drive being a part of an electromechanical system. The study shows the results of simulations performed on the tested model of a complex electromechanical system during some changes of a backlash zone width. An analysis of wavelet scalograms of the examined signals carried out using a clustering technique was applied in the diagnostic algorithm. The correctness of the earliest fault detection has been verified during monitoring and identification of mass inertia moment for state variables describing physical quantities of a tested complex of the electromechanical system.
Keywords:
inertia moment, induction motor, wavelet transformation, backlash zone, membership functionReferences
Divdel, H., Moghaddam, M. H., & Alipour, G. (2016). A new diagnosis of severity broken rotor bar fault based modeling and image processing system. Journal of Current Research in Science, S(1), 771–780.
Google Scholar
Duda, J. T. (2007). Pozyskiwanie wzorców diagnostycznych w komputerowych analizach sprawności urządzeń. Diagnostyka procesów i systemów. Warsaw, Poland: Akademicka Oficyna Wydawnicza EXIT.
Google Scholar
Frąckiewicz, M. (2011). Zastosowanie techniki KHM (k-średnich harmonicznych) w przetwarzaniu obrazów barwnych (Unpublished doctoral dissertation). Silesian University of Technology, Gliwice.
Google Scholar
Głowacz, A., & Głowacz, Z. (2017). Diagnosis of the three-phase induction motor using thermal imaging. Infrared & Physics Technology, 81, 7–16.
DOI: https://doi.org/10.1016/j.infrared.2016.12.003
Google Scholar
Hasiewicz, Z., & Śliwiński, P. (2005). Falki ortogonalne o zwartym nośniku. Warsaw, Poland: Akademicka Oficyna Wydawnicza EXIT.
Google Scholar
Korbicz, J., Kościelny, J. M., & Kowalczuk, Z. (2002). Diagnostyka procesów. Modele. Metody sztucznej inteligencji. Zastosowania. Warsaw, Poland: WNT.
Google Scholar
Looney, C. G. (1997). Pattern recognition using neural networks. New York, USA: Oxford University Press.
Google Scholar
Authors
Marcin TOMCZYKtomczykmarcin@poczta.fm
* Electrical School No. 1 in Krakow them. Silesian Insurgents, Kamieńskiego 49, 30-644 Kraków Poland
Authors
Anna PLICHTACracow Univeristy of Technology, Faculty of Physics, Mathematics and Computer Science, Institute of Computer Science, Warszawska 24, 31-155 Kraków Poland
Authors
Mariusz MIKULSKIState University of Applied Sciences in Nowy Sącz, Institute of Technology, Zamenhofa 1a, 33-300 Nowy Sącz Poland
Statistics
Abstract views: 88PDF downloads: 30
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
All articles published in Applied Computer Science are open-access and distributed under the terms of the Creative Commons Attribution 4.0 International License.
Most read articles by the same author(s)
- Marcin TOMCZYK, Barbara BOROWIK, Mariusz MIKULSKI, IDENTIFICATION OF A BACKLASH ZONE IN AN ELECTROMECHANICAL SYSTEM CONTAINING CHANGES OF A MASS INERTIA MOMENT BASED ON A WAVELET–NEURAL METHOD , Applied Computer Science: Vol. 14 No. 4 (2018)
- Marcin TOMCZYK, Barbara BOROWIK, Bohdan BOROWIK, IDENTIFICATION OF THE MASS INERTIA MOMENT IN AN ELECTROMECHANICAL SYSTEM BASED ON WAVELET–NEURAL METHOD , Applied Computer Science: Vol. 14 No. 2 (2018)
- Michał TOMCZYK, Anna PLICHTA, Mariusz MIKULSKI, APPLICATION OF WAVELET – NEURAL METHOD TO DETECT BACKLASH ZONE IN ELECTROMECHANICAL SYSTEMS GENERATING NOISES , Applied Computer Science: Vol. 15 No. 4 (2019)
Similar Articles
- Marcin TOMCZYK, Barbara BOROWIK, Mariusz MIKULSKI, IDENTIFICATION OF A BACKLASH ZONE IN AN ELECTROMECHANICAL SYSTEM CONTAINING CHANGES OF A MASS INERTIA MOMENT BASED ON A WAVELET–NEURAL METHOD , Applied Computer Science: Vol. 14 No. 4 (2018)
- Marcin TOMCZYK, Barbara BOROWIK, Bohdan BOROWIK, IDENTIFICATION OF THE MASS INERTIA MOMENT IN AN ELECTROMECHANICAL SYSTEM BASED ON WAVELET–NEURAL METHOD , Applied Computer Science: Vol. 14 No. 2 (2018)
- Michał TOMCZYK, Anna PLICHTA, Mariusz MIKULSKI, APPLICATION OF WAVELET – NEURAL METHOD TO DETECT BACKLASH ZONE IN ELECTROMECHANICAL SYSTEMS GENERATING NOISES , Applied Computer Science: Vol. 15 No. 4 (2019)
- Wulan Dewi, Wiranto Herry Utomo, PLANT CLASSIFICATION BASED ON LEAF EDGES AND LEAF MORPHOLOGICAL VEINS USING WAVELET CONVOLUTIONAL NEURAL NETWORK , Applied Computer Science: Vol. 17 No. 1 (2021)
- Evans BAIDOO, FIREWORKS ALGORITHM FOR UNCONSTRAINED FUNCTION OPTIMIZATION PROBLEMS , Applied Computer Science: Vol. 13 No. 1 (2017)
- Anitha Rani PALAKAYALA, Kuppusamy P, A QUALITATIVE AND QUANTITATIVE APPROACH USING MACHINE LEARNING AND NON-MOTOR SYMPTOMS FOR PARKINSON’S DISEASE CLASSIFICATION. A HIERARCHICAL STUDY , Applied Computer Science: Vol. 20 No. 3 (2024)
- K. Raju, Niranjan N Chiplunkar, PERFORMANCE ENHANCEMENT OF CUDA APPLICATIONS BY OVERLAPPING DATA TRANSFER AND KERNEL EXECUTION , Applied Computer Science: Vol. 17 No. 3 (2021)
- Paweł KARPIŃSKI, THE INFLUENCE OF THE INJECTION TIMING ON THE PERFORMANCE OF TWO-STROKE OPPOSED-PISTON DIESEL ENGINE , Applied Computer Science: Vol. 14 No. 2 (2018)
- Ahmed A.H. HAQQANI, Seenu N, Mukund JANARDHANAN, Kuppan Chetty RM, EVALUATION OF ROBOTIC CLEANING TECHNOLOGIES: PRESERVING A BRITISH ICONIC BUILDING , Applied Computer Science: Vol. 16 No. 2 (2020)
- Leszek JASKIERNY, REVIEW OF THE DATA MODELING STANDARDS AND DATA MODEL TRANSFORMATION TECHNIQUES , Applied Computer Science: Vol. 14 No. 4 (2018)
You may also start an advanced similarity search for this article.
