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 Zastosowanie techniki KHM (k-średnich harmonicznych) w przetwarzaniu obrazów barwnych (Unpublished doctoral dissertation).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
- Zaid ALSAYGH, Zohair AL-AMEEN, CONTRAST ENHANCEMENT OF SCANNING ELECTRON MICROSCOPY IMAGES USING A NONCOMPLEX MULTIPHASE ALGORITHM , Applied Computer Science: Vol. 18 No. 2 (2022)
- Jarosław ZUBRZYCKI, Antoni ŚWIĆ, Łukasz SOBASZEK, Juraj KOVAC, Ruzena KRALIKOVA, Robert JENCIK, Natalia SMIDOVA, Polyxeni ARAPI, Peter DULENCIN, Jozef HOMZA, CYBER-PHYSICAL SYSTEMS TECHNOLOGIES AS A KEY FACTOR IN THE PROCESS OF INDUSTRY 4.0 AND SMART MANUFACTURING DEVELOPMENT , Applied Computer Science: Vol. 17 No. 4 (2021)
- Marian JANCZAREK, COMPUTER MODELLING OF THERMAL TECHNICAL SPACESS IN ASPECT OF HEAT TRANSFER THROUGH THE WALLS , Applied Computer Science: Vol. 14 No. 3 (2018)
- Denis RATOV, ARCHITECTURAL PARADIGM OF THE INTERACTIVE INTERFACE MODULE IN THE CLOUD TECHNOLOGY MODEL , Applied Computer Science: Vol. 16 No. 4 (2020)
- Tytus TULWIN, MODELLING OF A LARGE ROTARY HEAT EXCHANGER , Applied Computer Science: Vol. 13 No. 1 (2017)
You may also start an advanced similarity search for this article.
