Analysis and reduction of effect of factors on recognition of induction motor in electric network

Authors

  • Денис Иванович Кузнецов Kryvyi Rih National University 11, XXII Partz'yizdu str., Kryvyi Rih, 50027, Ukraine, Ukraine
  • Андрей Иванович Купин Kryvyi Rih National University 11, XXII Partz'yizdu str., Kryvyi Rih, 50027, Ukraine, Ukraine

DOI:

https://doi.org/10.15587/2312-8372.2013.12108

Keywords:

high harmonics, neural network, programmed filter, identification

Abstract

When using the electric motors one can face various kinds of damages to their parts. Thus, it is very important to detect defects in early stages. First of all, one has to identify the equipment (for example, using neural networks) in total and individually in the electric network. There are obstructions that prevent a clear and reliable identification of electrical equipment, namely, the distortion of a desired signal (high harmonics, generated by the motor under study, represent the desired signal), due to power surges, effects of other electric motors plugged in, etc. That is why we proposed to use a filter-mask, which permits to separate the individual desired spectrum of a signal of the induction motor regardless of the amount of electric motors plugged in.

Author Biographies

Денис Иванович Кузнецов, Kryvyi Rih National University 11, XXII Partz'yizdu str., Kryvyi Rih, 50027, Ukraine

Graduate student

Андрей Иванович Купин, Kryvyi Rih National University 11, XXII Partz'yizdu str., Kryvyi Rih, 50027, Ukraine

Doctor of Technical Sciences, Professor
Dean of the Faculty of Information Technology

References

  1. Петухов, В.С. Диагностика состояния электродвигателей на основе спектрального анализа потребляемого тока [Текст] / В.С. Петухов, В.А. Соколов // Журнал "Новости Электротехники". – Москва, 2005.- № 1(31). С. 23.
  2. Кравченко, В.М. Техническое диагностирование механического оборудования [Текст] / В.М. Кравченко, Сидоров В.А. – Донецк: 2006. – 256 с.
  3. Фильтрация языка [Электронный ресурс] /Музичний комп’ютерю.-Режим доступа: http://www.petelin.ru/vsmag/galaxy/galaxy.htm (дата обращения: 12.11.2012).
  4. Didier G. Fault detectionof broken rotor barsin induction motorusing a global faultIndex / G. Didier, E. Ternisien, O. Caspary // IEEE Transactions on Industry Applications.-2006.- vol. 42, pp. 79–88.
  5. Воскобойников, Ю.Е. Фильтрации сигналов и изображений: фурье и вейвлет алгоритмы (с примерами в Mathcad) [Текст] : монография / Ю.Е. Воскобойников, А.В. Гочаков, А. Б. Колкер.-Новосибирск // НГАСУ, 2010. – 188 с.
  6. Попов, В.С. Исследование влияния боковых лепестков спектра окон на погрешности обработки и передачи сигнала [Текст] / В.С. Попов. – М.: МГТУ им. Н. Э. Баумана, 2010.- 203 с.
  7. Grewal M.S. KalmanFiltering — Theory and Practice Using MATLAB / M.S. Grewal, , A.P. Andrews.- Wiley, 2001.- 167 p.
  8. Petuhov V.S, Sokolov V.A. Diagnosis of the motors on the basis of spectral analysis of the current consumption [Diagnostika sostojanija jelektrodvigatelej na osnove spektral'nogo analiza potrebljaemogo toka]. Novosti Jelektrotehniki. Moscow, 2005.no. 1(31), pp. 23.
  9. Kravchenko V. M., Sidorov V.M. Tehnicheskoe diagnostirovanie mehanicheskogo oborudovanija (Technical diagnosis of mechanical equipment ). Donetsk, 2006. 256p.
  10. Fil'tracija jazyka (Filtering language) Available at:: http://www.petelin.ru/vsmag/galaxy/galaxy.htm (accessed 12 November 2012).
  11. Didier G., Ternisien E., Caspary O. Fault detectionof broken rotor barsin induction motorusing a global faultIndex. IEEE Transactions on Industry Applications. 2006. vol. 42, pp. 79–88.
  12. Voskobojnikov Y.E.,Gochakov A.V., Kolcker A.B. Fil'tracii signalov i izobrazhenij: fur'e i vejvlet algoritmy [Filtering of signals and images: Fourier and wavelet algorithms]. Novosibirsk: NGASU, 2010. 188 p.
  13. Popov V.S. Issledovanie vlijanija bokovyh lepestkov spektra okon na pogreshnosti obrabotki i peredachi signala (Investigation of the effect of side lobes of the spectrum windows error processing and transmission) Мoscow. 2010. 203 p.
  14. Grewal M.S., Andrews A.P. KalmanFiltering — Theory and Practice Using MATLAB. Wiley, 2001. 167 p.

Published

2013-02-27

How to Cite

Кузнецов, Д. И., & Купин, А. И. (2013). Analysis and reduction of effect of factors on recognition of induction motor in electric network. Technology Audit and Production Reserves, 1(1(9), 28–32. https://doi.org/10.15587/2312-8372.2013.12108