Application of image analysis to the identification of mass inertia momentum in electromechanical system with changeable backlash zone
Authors:
- Marcin Tomczyk,
- Anna Plichta,
- Mariusz Mikulski
Abstract
This paper presents a new method of identification of inertia moment of reduced masses on a shaft of an induction motor drivebeing 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 tech-nique was applied in the diagnostic algorithm. The correctness of the earliest fault detection has been verified during monitoring andidentification of mass inertia moment for state variables describing physical quantities of a tested complex of the electromechanical system.
- Record ID
- CUT181b0dad41ec485d9c9e29a944a4ff92
- Publication categories
- ;
- Author
- Journal series
- APPLIED COMPUTER SCIENCE, ISSN 1895-3735, e-ISSN 2353-6977
- Issue year
- 2019
- Vol
- 15
- No
- 3
- Pages
- 87-102
- Other elements of collation
- rys.; tab.; wykr.; Bibliografia (na s.) - 101-102; Oznaczenie streszczenia - Abstr.; Numeracja w czasopiśmie - vol. 15, no. 3
- Keywords in English
- inertia moment, induction motor, wavelet transformation, backlash zone, membership function
- DOI
- DOI:10.23743/acs-2019-24 Opening in a new tab
- URL
- http://www.acs.pollub.pl/index.php?option=com_content&view=category&layout=blog&id=82&Itemid=154 Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 70
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT181b0dad41ec485d9c9e29a944a4ff92/
- URN
urn:pkr-prod:CUT181b0dad41ec485d9c9e29a944a4ff92
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