| DOI: https://doi.org/10.15407/publishing2020.55.114
THE FORMATION OF TRAINING SETS FOR INFORMATION-MEASURING SYSTEMS FOR THE DIAGNOSIS OF ELECTRICAL EQUIPMENT, TAKING INTO ACCOUNT THE RESULTS OF VIBRATION TESTS
O.V. Bondarchuk2, M. V. Myslovych1*, T. H. Sobolevska2, V.V. Tverdiakov1, B.O. Troshchynskyi2
1-Institute of Electrodynamics of the National Academy of Sciences of Ukraine,
Peremohy, 56, Kyiv-57, 03680, Ukraine,
2-National University of Construction and Architecture,
pr. Povitroflotskyi, 31, Kyiv, 03037, Ukraine,
e-mail:
This e-mail address is being protected from spambots. You need JavaScript enabled to view it
,
This e-mail address is being protected from spambots. You need JavaScript enabled to view it
,
This e-mail address is being protected from spambots. You need JavaScript enabled to view it
,
This e-mail address is being protected from spambots. You need JavaScript enabled to view it
,
This e-mail address is being protected from spambots. You need JavaScript enabled to view it
* ORCID ID : http://orcid.org/0000-0002-6245-7917
The basic requirements for diagnostic systems of electric power equipment are presented, taking into account the Smart Grid concept. Some results are considered regarding the occurrence of vibration diagnostic signals in individual nodes of electrical equipment using shock influences. The main components of information support for diagnostic systems of electrical equipment are proposed, taking into account the main vibrational components that occur during external shock-vibrational excitation of the studied objects. Certain components of this software are considered, including mathematical models of diagnostic signals, as well as models that describe the multi-resonance structure of vibrations of the studied units of electrical equipment. Presented and studied are the forms of representation of training sets that correspond to certain technical conditions of the nodes of electrical equipment and take into account the multi-resonance structure of the vibrations of the nodes of electrical equipment. References 11, figres 16.
Key words: electrical equipment, diagnostic system, Smart Grid concept, training set.
1. Sheberstov A.I. The state of thermal power plants in Ukraine, the prospects for their updating and modernization. Energetyka ta elektryfikatsiia, 2004. No 12. Pp. 1-6. (Rus)
2. Shidlovskyi A.K., Matsevytyi Yu. M. Problems of electricity in Ukraine. Tekhnichna elektrodynamika. 2006. Part 1. Pp. 3-7. (Ukr)
3. Babak S.V., Myslovich M.V., Sysak R.M. Statistical diagnostics of electrical equipment. Kyiv: Institute of Electrodynamics of NAS of Ukraine, 2015. 456 p. (Rus)
4. Birger I.A. Technical diagnostics. Moscow: Mashynostroieniie, 1978. 211 p. (Rus)
5. Gulyaev V.A. Computational diagnostics. Kyiv: Naukova dumka, 1992. 232 p. (Rus)
6. Diagnostic tools. Directory. Edited by Klyuev V.V. Moscow: Mashynostroienye, 1989. 672 p. (Rus)
7. Marchenko B.G., Myslovich M.V., Tselina V.N. Shock diagnostics of laminated magnetic cores. Kyiv: 1993. 40 p. (Prep. AS of Ukraine, Institute of Electrodynamics; 745). (Rus)
8. Mislovich M.V., Fedoza O.O. Substantiation of diagnostic features for determining the technical condition of electrical equipment using the information-measuring system of shock diagnostics. Bulletin of the National University Lviv Polytechnic. No 421. 2001. Pp. 116-120. (Ukr)
9. Mislovich M.V., Sisak R.M. About some features of building intelligent multilevel systems for technical diagnostics of electric power objects. Tehnichna electrodynamika. 2015. No 1. P. 78-85. (Ukr)
10. Gorodja K.A. Automated system of statistical vibration diagnostics of electrical equipment: author’s abstract of Cand. tech. sci. diss.: 05.13.07. KNUBA. Kyiv. 2013. 175 p. (Ukr)
11. Hertzik S.M. Computerized diagnostic system for electrical equipment units, taking into account its operating modes: author’s abstract of Cand. tech. sci. diss.: 05.13.05. Institute of Electrodynamics NAS of Ukraine. Kyiv. 2019. 182 p. (Ukr)
Received 25.02.2020
PDF
|
