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DOI: https://doi.org/10.15407/techned2018.03.090


Journal Tekhnichna elektrodynamika
Publisher Institute of Electrodynamics National Academy of Science of Ukraine
ISSN 1607-7970 (print), 2218-1903 (online)
Issue No 3, 2018 (May/June)
Pages 90 – 96


R.M. Sysak*
Institute of electrodynamics National Academy of Sciences of Ukraine,
pr. Peremohy, 56, Kyiv, 03057, Ukraine,
e-mail: Этот e-mail адрес защищен от спам-ботов, для его просмотра у Вас должен быть включен Javascript
* ORCID ID : http://orcid.org/0000-0003-4474-4776



The problem of energy consumption reducing in autonomous modules of distributed multi-level systems for monitoring and technical diagnostics of the equipment of electric power objects due to the use of optimized algorithms and programs for statistical processing of measurements data is considered. Improved algorithm for testing of diagnostic signals for homogeneity, which is used for the preliminary detection of defects in the elements of electrical equipment, is developed. Minimization of program execution time and consequently the reducing of power consumption in autonomous measuring modules are achieved through the use of computations with integers which are supported by modern 32-bit microcontrollers. References 17.


Key words: statistical diagnostics, power objects equipment, digital signal processing, data homogeneity test, algorithm


Received:    09.01.2018
Accepted:    05.02.2018
Published:  13.04.2018



1. Myslovych M., Sysak R. Design peculiarities of multi-level systems for technical diagnostics of electrical machines. Computational Problems of Electrical Engineering. 2014. Vol. 4. No 1. Pp. 47–50.
2. Myslovych M.V., Sysak R.M. On some peculiarities of design of intelligent multi-level systems for technical diagnostics of electric power facilities. Tekhnichna Elektrodynamika. 2015. No 1. Pp. 78–85. (Ukr)
3. Stognii B.S., Kyrylenko O.V., Denysiuk S.P. Intelligent electrical networks of power systems and their technological components. Tekhnichna Elektrodynamika. 2010. No 6. Pp. 44–50. (Ukr)
4. Myslovych M.V., Sysak R.M., Ostapchuk L.B., Gyzhko Yu.I., Hertsyk S.M. Algorithms of operation and software of multilevel system for monitoring and technical diagnostics of electrical power facilities equipment. Tekhnichna Elektrodynamika. 2016. No 4. Pp. 86–88. (Ukr)
5. Sysak R.M. Peculiarities of the structure and functioning of multilevel systems for diagnostics of wind power plants equipment. Proc. XVІІІ International Conference Renewable power engineering and power efficiency in ХХІ century. Kyiv, 27–29 September 2017. Pp. 513–516. (Ukr)
6. Walls C. CPU selection in embedded systems. URL: https://www.embedded.com/design/mcus-processors-and-socs/4442264/CPU-selection-in-embedded-systems. (Accessed at 04.01.2018).
7. АРМ Processors Cortex-M Series. URL: https://www.arm.com/products/processors/cortex-m. (Accessed at 04.01.2018).
8. Kondrashova K. Optimization of energy consumption of devices based on EFM32 Wonder Gecko microcontrollers with Cortex-M4F core. Componenty i tekhnologii. 2013. No 9. Pp. 48–52. (Rus)
9. Babak S.V., Myslovych M.V., Sysak R.M. Statistical diagnostics of electrical equipment Kiev: Institute of Electrodynamics National Academy of Science of Ukraine, 2015. 456 p. (Rus)
10. Kobzar A.I. Applied mathematical statistics. For engineers and researches. Moskva: Fizmatlit, 2006. 816 p. (Rus)
11. Eremenko V.S., Kuts Yu.V., Mokiiuchuk V.M. Estimation of homogeneity of samples of small volume. Systemy obrobky informatsii. 2006. Vol. 7 (56). Pp. 26–29. (Rus)
12. Eremenko V.S., Mokiiuchuk V.M., Samoilichenko O.V. A study of the power of the Cochran test with a limited number of observations. Systemy obrobky informatsii. 2007. Vol. 6 (64). Pp. 35–39. (Rus)
13. Eremenko V.S., Mokiiuchuk V.M., Samoilichenko O.V. Determination of statistical estimates of the power of the homogeneity criteria on samples of small volume. Systemy obrobky informatsii. 2008. Vol. 4 (71). Pp. 30–33. (Rus)
14. Lemeshko B.Y., Lemeshko S.B., Gorbunova A.A. On the application and power of criteria for verifying the homogeneity of variances. Part I. Parametric criteria. Izmeritelnaia tekhnika. 2010. No 3. Pp. 10–16. (Rus)
15. Lemeshko B.Y., Lemeshko S.B. On the stability and power of criteria for checking the homogeneity of averages. Izmeritelnaia tekhnika. 2008. No 9. Pp. 23–28. (Rus)
16. Lemeshko B.Y. Criteria for testing hypotheses about homogeneity. Application guide: monograph. Moskva: INFRA-M, 2017. 208 p. (Rus)
17. Orlov A.I. Econometrics. Moskva: Ekzamen, 2002. 576 p. (Rus)