Application of unified microprocessor relay protection units in electrical machine diagnostics
https://doi.org/10.30724/1998-9903-2019-21-6-93-100
Abstract
The article concentrates on the topical issue connected with the detection of defects in the rotor winding of electric machines. The experimental sampling and digital processing of electrical signals from controlled windings is in the basis. The authors conducted the research using two experimental units for asynchronous motor and synchronous generator, respectively. A distinctive feature of the proposed research stands is in solving the problems of digital processing and data analysis on the basis of the application of microprocessor relay protection unit BMRZ developed in Russia. The authors applied method of wavelet decomposition to select the detailing component. They also presented the results of experiments for the breakage in the short-circuit rotor of an asynchronous motor and proved that the microprocessor-based BMRZ device is capable of digitizing at a sampling rate that meets the requirements, and in conjunction with the data processing algorithms that carry out the selective determination of hard-to-detect defects, is applicable in the diagnosis of electrical machines.
About the Authors
V. I. Polishchuk
Polzunov Altai State Technical University
Russian Federation
Russian Federation
Vladimir I. Polishchuk
Barnaul
M. V. Kritsky
Samara State Technical University
Russian Federation
Russian Federation
Mikhail V. Kritsky
Samara
D. M. Bannov
Samara State Technical University
Russian Federation
Russian Federation
Dmitrii M. Bannov
Samara
S. V. Malyshev
Samara State Technical University
Russian Federation
Russian Federation
Sergei V. Malyshev
Samara
References
1. Kurilin SP, Denisov VN. The development of topological diagnostic methods of asynchronous electric machines. Diagnostics, Resource and Mechanics of materials and structures. 2018;6:214-221.
2. Bryakin IV, Bochkarev IV, Kelebaev KK. Diagnostika parametrov elektricheskikh mashin peremennogo toka. Elektrotekhnicheskie sistemy i kompleksy. 2017;4(37):38-44.
3. Broken rotor bar fault diagnosis using fast Fourier transform applied to field-oriented control induction machine: simulation and experimental study. International Journal of Advanced Manufacturing Technology. 2017;92 (1-4):917-928.
4. Mazzoletti MA. A model-based strategy for interturn short-circuit fault diagnosis in PMSM. IEEE Transactions on Industrial Electronics. 2017;6(49):7218-7228.
5. Korobeinikov AB. Analiz sushchestvuyushchikh metodov diagnostirovaniya elektrodvigatelei i perspektivy ikh razvitiya. Elektrotekhnicheskie sistemy i kompleksy. 2015;1(26):4-9.
6. Bernat P, Hytka Z, Kacor P. Indication of failures of rotor bar on induction machine with squirrel cage rotor in its external electromagnetic field. Proceedings of the 2015 16th international scientific conference on electric power engineering (EPE). 2015. pp.691-696.
7. Shevchuk VA. Sravnenie metodov diagnostiki asinkhronnogo dvigatelya. Mezhdunarodnyi studencheskii nauchnyi vestnik. 2015;3-4:419-423.
8. Sidel'nikov LG. Obzor metodov kontrolya tekhnicheskogo sostoyaniya asinkhronnykh dvigatelei v protsesse ekspluatatsii. Vestnik Permskogo natsional'nogo issledovatel'skogo politekhnicheskogo universiteta. Geologiya. Neftegazovoe i gornoe delo. 2013;7:127-137.
9. Babaa F. Experimental investigation and comparative study of interturn short-circuits and unbalanced voltage supply in induction machines. Frontiers in Energy. 2013;7(3):271-278.
10. Fedorov MM. Metod diagnostirovaniya obryvov i mezhvitkovykh zamykanii v statornykh obmotkakh asinkhronnykh dvigatelei. Vzryvozashchishchennoe elektrooborudovanie. 2011;1:168-174.
11. Faiz J, Ebrahimi BV, Sharifian MB. Different Faults and Their Diagnosis Techniques in Three-Phase Squirrel-Cage Induction Motors: A Review. Electromagnetics. 2006;26(7):543-569.
12. Kovalev AA, Galkin AG. Nadezhnost' i tekhnicheskaya diagnostika ustroistv elektroenergetiki. Ekaterinburg: izd-vo UrGUPS. 2014. P.105 .
13. Bushnev DV, Romanov AV. Teoreticheskie osnovy tsifrovoi obrabotki signalov. Voronezh: Voronezh. gosudarstvennyi. tekhnicheskii universitet. 2005. P.116 .
14. D'yakov AF, Ovcharenko NI. Mikroprotsessornaya avtomatika i releinaya zashchita elektroenergeticheskikh sistem. M.: Izdatel'skii dom MEI. 2010. P. 336.
15. Glazyrina TA. Sovershenstvovanie metodov diagnostiki asinkhronnykh dvigatelei na osnove analiza potreblyaemykh tokov: Dis. … kand. tekhn. nauk: 05.14.02. Tomsk, 2012. P. 120.
16. Polishchuk VI, Glazyrin AS, Glazyrina TA. Funktsional'naya veivlet-diagnostika sostoyaniya obmotok rotorov trekhfaznykh elektricheskikh mashin. Elektrichestvo. 2012;6:42-45.
17. Polishchuk VI. Sposob zashchity sinkhronnoi elektricheskoi mashiny ot vitkovykh zamykanii obmotki rotora. Patent RF № 2546131. Byul. №10.
18. Bannov DM, Polishchuk VI. Razrabotka usovershenstvovannogo metoda diagnostirovaniya defektov rotornoi obmotki asinkhronnykh dvigatelei. Mezhdunarodnaya molodezhnaya nauchnaya konferentsiya «Korolevskie chteniya» (Samara 03-05 Okt 2017.). Samara: Izdatel'stvo Samarskogo natsional'nogo issledovatel'skogo universiteta imeni akademika SP.Koroleva, 2017.pp 495-497.
Review
For citations:
Polishchuk V.I., Kritsky M.V., Bannov D.M., Malyshev S.V. Application of unified microprocessor relay protection units in electrical machine diagnostics. Power engineering: research, equipment, technology. 2019;21(6):93-100. (In Russ.) https://doi.org/10.30724/1998-9903-2019-21-6-93-100
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