On Peculiarities of development of information support for technical diagnostics multilevel systems of electrical equipment

dc.citation.epage41
dc.citation.issue2
dc.citation.spage34
dc.citation.volume9
dc.contributor.affiliationInstitute of Electrodynamics
dc.contributor.authorМислович, Михайло
dc.contributor.authorГижко, Юрій
dc.contributor.authorГуторова, Марина
dc.contributor.authorОстапчук, Людвіга
dc.contributor.authorMyslovych, Mykhailo
dc.contributor.authorHyzhko, Yuriy
dc.contributor.authorHutorova, Maryna
dc.contributor.authorOstapchuk, Liudviga
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
dc.date.accessioned2020-05-08T10:38:47Z
dc.date.available2020-05-08T10:38:47Z
dc.date.created2019-03-20
dc.date.issued2019-03-20
dc.description.abstractНаведено основні вимоги до систем діагностування електроенергетичного обладнання з урахуванням концепції Smart Grid. Розглянуто деякі результати, що стосуються питань утворення діагностичних сигналів у працюючому електротехнічному обладнанні. Запропоновано інформаційне забезпечення до багаторівневої системи електротехнічного обладнання. Розглянуто основні складові цього забезпечення, серед яких математичні моделі діагностичних сигналів, а також моделі, які характеризують процес формування навчальних сукупностей, що водночас відповідають і певним дефектам досліджуваних вузлів електротехнічного обладнання, і режимам їхньої роботи. Запропоновано й досліджено форми представлення навчальних сукупностей, що відповідають певним технічним станам вузлів електротехнічного обладнання і які можуть працювати у різних режимах.
dc.description.abstractCrucial requirements to the diagnostics systems of electrical equipment have been formulated which take into account the conception of Smart Grid. Results pertaining to the issues of diagnostic signals formation in operating electrical equipment are considered. Informational support for multilevel systems of electrical equipment has been presented. The basic components of the informational support are discussed, including mathematical models of diagnostic signals, and also models simulating the process of forming the training datasets; the latter cover both certain defects of investigated electrical equipment units and their operating modes. Various representations of training datasets have been introduced and investigated; the datasets cover certain technical conditions of electrical equipment units in the variety of operating modes.
dc.format.extent34-41
dc.format.pages8
dc.identifier.citationOn Peculiarities of development of information support for technical diagnostics multilevel systems of electrical equipment / Mykhailo Myslovych, Yuriy Hyzhko, Maryna Hutorova, Liudviga Ostapchuk // Computational Problems of Electrical Engineering. — Lviv : Lviv Politechnic Publishing House, 2019. — Vol 9. — No 2. — P. 34–41.
dc.identifier.citationenOn Peculiarities of development of information support for technical diagnostics multilevel systems of electrical equipment / Mykhailo Myslovych, Yuriy Hyzhko, Maryna Hutorova, Liudviga Ostapchuk // Computational Problems of Electrical Engineering. — Lviv : Lviv Politechnic Publishing House, 2019. — Vol 9. — No 2. — P. 34–41.
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/49608
dc.language.isoen
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofComputational Problems of Electrical Engineering, 2 (9), 2019
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dc.relation.referencesen2. A. K. Shydlovsky and Yu. M. Matsevytiy, "Problems of Electrical Power engineering of Ukraine", Tekhnichna Elektrodynamika, issue "The Problems of Modern Electrical engineering". Part 1, pp. 3–7, Kyiv, Ukraine: Institute of Electrodynamics of NAS of Ukraine, 2006. (Ukrainian)
dc.relation.referencesen3. S. V. Babak, M. V. Myslovych, and R. M. Sysak, Statistical diagnostics of Electrical Engineering equipment. Kyiv, Ukraine: Institute of Electrodynamics of NAS of Ukraine, 2015. (Russian)
dc.relation.referencesen4. I. A. Birger, Technical diagnostics. Moscow, Russia: Mashynostroenie, 1978. (Russian)
dc.relation.referencesen5. V. A. Guliaiev. Computational diagnostics. Kyiv, Ukraine: Naukova dumka, 1992. (Russian)
dc.relation.referencesen6. V. V. Kliuiev, P. P. Parhomenko, et al; Technical means of diagnostics: Hand-book. Moscow, Russia: Mashynostroenie, 1989. (Russian)
dc.relation.referencesen7. V. P. Babak, S. V. Babak, M. V. Myslovych, A. O. aporozhets, and V. M. Zvaritch, Information Provision of Diagnostic Systems for Energy Facilities. Kyiv: Ukraine: Akademperiodyka, 2018.
dc.relation.referencesen8. M. V. Myslovych and R. M. Sysak, "Design peculiarities of multi-level systems for technical diagnostics of electrical machines", Computational Problems of Electrical Engineering, vol. 4. no. 1, 2014.
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dc.relation.referencesen10. V. V. Ilyin, "Introduction to Smart Grid", AVOK, no 7, pp. 76–86, 2012. (Russian)
dc.relation.referencesen11. B. S. Stognii, O. V. Kyrylenko, O. F. Butkevych, and M. F. Sopel, "Informational support for tasks of power electrical systems control", Power engineering: economics, technique, ecology, no 1, pp. 13–22, 2012. (Ukrainian)
dc.relation.referencesen12. B. S. Stognii, O. V. Kyrylenko, and S. P. Denysiuk, "Intelligent electrical networks of power systems and their technological components", Tekhnichna Elektrodynamika, no. 6, pp. 44–50, Kyiv, Ukraine: Institute of Electrodynamics NAS of Ukraine, 2010. (Ukrainian).
dc.relation.referencesen13. B. S. Stognii, O. V. Kyrylenko, A. V. Prahovnik, and S. P. Denysiuk, "Evolution of intelligent electrical networks and their perspectives in Ukraine", Tekhnichna Elektrodynamika, no. 5, pp. 52–67, Kyiv, Ukraine: Institute of Electrodynamics of NAS of Ukraine, 2012. (Ukrainian)
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dc.relation.referencesen15. S. M. Hertsyk, "Formation of Training datasets for diagnostic systems of electric power equipment taking into account their operating modes", Works of Institute of Electrodynamics of NAS of Ukraine, vol. 52, pp. 54–61. (Ukrainian)
dc.relation.referencesen16. I. G. Shubov, Noise and Vibration of Electrical machines. Leningrad, Russia: Energoatomizdat. 1986.
dc.relation.referencesen17. I. M. Yavorskyi, Mathematical Models and Analysis of Stochastic Oscillations. Lviv, Ukraine: Physics – Mechanics Institute of NAS of Ukraine, 2013.
dc.relation.referencesen18. A. C. McCormick and A. K. Nandi, "Cyclostationarity in Rotation Machine Vibrations", Mechanical Systems and Signal Processing, vol. 12, no. 2, pp. 225–242, 1998.
dc.relation.referencesen19. J. Antoni, F. Guillet, M. Badooni, and M. Bonvardot, "Blind Separation of Convolved Cyclostationary Process", Signal Processing, vol. 85, pp. 51–66, 2005.
dc.relation.referencesen20. J. Antoni and R. B. Randall, "Unsupervised noise cancellation for vibration signals. Part 1: evaluation of adaptive algorithms", Mechanical Systems and Signal Processing, vol. 18, pp. 89–101, 2004.
dc.relation.referencesen21. J. Antoni and R. B. Randall, "Unsupervised noise cancellation for vibration signals. Part 2: a novel frequency-domain algorithm evaluation of adaptive algorithms", Mechanical Systems and Signal Processing, vol. 18. pp. 103–117, 2004.
dc.relation.referencesen22. B. G. Marchenko and L. N. Scherbak, Linear Processes and its applications. Kyiv: Ukraine: Naukova Dumka, 1975. (Russian)
dc.relation.referencesen23. Mathematic Encyclopedia. I. M. Vinogradov, Ed., Moscow, Russia: Soviet Encyclopedia, vol. 4, Ok-Slo, 1984. (Russian)
dc.rights.holder© Національний університет “Львівська політехніка”, 2019
dc.subjectelectrical equipment
dc.subjectdiagnostics system
dc.subjectconception of Smart Grid
dc.subjecttraining dataset
dc.titleOn Peculiarities of development of information support for technical diagnostics multilevel systems of electrical equipment
dc.title.alternativeОсобливості побудови багаторівневих систем технічної діагностики електричних машин
dc.typeArticle

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