Developing of hydro-aerodynamic systems' elements based on intellectual visualization

Authors

  • Олена Олександрівна Арсірій Odessa national polytechnic university 1, Shevchenko avenue, Odessa, Ukraine, 65044, Ukraine

DOI:

https://doi.org/10.15587/1729-4061.2013.14826

Keywords:

Information technology, data mining, hydrodynamic modeling, design and operation of the hydro-aerodynamic systems

Abstract

For identifying and studying the hydro-aerodynamic processes influence the hydraulic resistance in the elements of a complex shape complex modeling tools are developed. These tools allow receive the visual and intellectual models. For receiving of hydrodynamic intellectual models of hydro-aerodynamic structural primitives in the implementations array of the hydro-aerodynamic flows in major and minor hydro-aerodynamic systems' elements analysis and search of regularities for a more compact description of the data were carried out. The analysis was carried out in four phases: a priori alphabet classes preparation based on the clustering procedure, a priori attributes dictionary preparation, the classification algorithm implementation; clarify the description of all the classes in the signs language  considering the classification quality index. For determining the prototype classes it was proposed to carry out the clustering of the visual data based on the method of intelligent visualization (MIV) using Kohonen self-organizing maps (SOM) in the form of coherent regions (coherent region) (SOM-CR).MIV SOM-CR is implemented in the form of two procedures: the classical self-organization and the modified calibration.At the stage of classification for separating surfaces building the multilayer perceptron (multilayer perceptron – MLP) is used. It was trained on the basis of back-propagation (back-propagation learning – BPL)

Author Biography

Олена Олександрівна Арсірій, Odessa national polytechnic university 1, Shevchenko avenue, Odessa, Ukraine, 65044

PhD

Department of Information Control Systems and Technologies

References

  1. Арсирий, В.А. Повышение эффективности оборудования с использованием FST-технологии [Текст] / В.А. Арсирий // Тр. Одес. политехн. ун-та. – Одесса: – 2003. – Вып. 2. – C. 187–191.
  2. Идельчик, И.Е. Справочник по гидравлическим сопротивлениям. [Текст] / И.Е. Идельчик; под ред. М.О. Штейнберга. – 3–е изд.– М.: Машиностроение, 1992. – 672 с., ил
  3. Берже, П. Порядок в хаосе. О детерминистском подходе к турбулентности [Текст] / П. Берже, И. Помо, К. Видаль. – М.: Мир. – 1991. – 368с.
  4. Ишлинский, Ю.А. Вихри и волны [Текст] / Под ред. Ю.А. Ишлинского, Г.Г. Черного // Новое в зарубежной науке. Механика. – М.: Мир. – 1984. – 110с.
  5. Кантуэлл Б.Дж. Организованные движения в турбулентных потоках. [Текст] : Пер. с англ. // Сб. статей. Вихри и волны. – М.: Мир. – 1984. – С. 9-79.
  6. Arsiriy, E. Reduction of Noise and Vibration of Turbo Machinery due to Improvement of Flowing Part [Text] / E. Arsiriy, V. Arsiry // International Symposium on Compressor & Turbine Flow Systems – Theory & Application Areas “SYMKOM’08”. – Institute of Turbomachinery Technical University of Lodz, Lodz. – 15-17 September, 2008
  7. Arsiriy, E. The physical method of visual diagnostics of flow structure [Text] / E. Arsiriy, V. Arsiry // XII International Scientific Conference Current Issues of Civil and Environmental Engineering. Rzeszow-Lviv-Kosice. – 17-19 September 2009. – Rzeszow, Poland. – Z.54, N266. – pp. 5-8
  8. Кохонен, Т. Самоорганизующиеся карты [Текст] : пер. 3-го англ. изд. / Т. Кохонен. – М. : БИНОМ Лаборатория знаний, 2008. – 655с., ил
  9. Хайкин, С. Нейронные сети: полный курс [Текст] : 2-е изд., испр., пер. с англ. / Под ред. Н.Н. Куссуль, С. Хайкин // М.: ООО “И.Д. Вильямс“.— 2006. – C. 1104.
  10. Арсирий, Е. А. Интеллектуальный анализ при комплексном моделировании для повышения надежности работы энергетического оборудования [Текст] / Е. А. Арсирий, С. Г. Антощук, В. А. Арсирий, В. И. Кравченко // Радіоелектронні і комп’ютерні системи. – 2012. – № 6(58). – С. 89–94.
  11. Arsirij, V.A. (2003). Povyshenie jeffektivnosti oborudovanija s ispol'zovaniem FST-tehnologii . Tr. Odes. politehn. un-ta, Vyp. 2, 187–191.
  12. Idel'chik, I.E. (1992). Spravochnik po gidravlicheskim soprotivlenijam. In: Shtejnberga, M.O. 3rd ed. M.: Mashinostroenie. 672p.
  13. Berzhe, P., Pomo, I., Vidal', K. (1991). Porjadok v haose. O deterministskom podhode k turbulentnosti. M.: Mir. 368р.
  14. In: Ishlinskij, Ju.A., Chernij, G.G. (1984). Vihri i volny. Novoe v zarubezhnoj nauke. Mehanika. M.: Mir. 110p.
  15. Kantuell, B.G. (1984). Organizovannye dvizhenija v turbulentnyh potokah. M.: Mir. Vihri i volny, 9-79.
  16. Arsiriy, E, Arsiry, V. (2008). Reduction of Noise and Vibration of Turbo Machinery due to Improvement of Flowing Part. International Symposium on Compressor & Turbine Flow Systems – Theory & Application Areas “SYMKOM’08”- Institute of Turbomachinery Technical University of Lodz, Lodz, 15-17 September 2008.
  17. Arsiriy, E, Arsiry, V. (2009). The physical method of visual diagnostics of flow structure. XII International Scientific Conference Current Issues of Civil and Environmental Engineering. Rzeszow-Lviv-Kosice. 17-19 September 2009 Rzeszow, Poland. Z.54, N266, 5-8.
  18. Kohonen, T. (2008). Samoorganizujushhiesja karty. 3rd ed. M.: BINOM Laboratorija znanij. 655p.
  19. In: Kussul', N.N., Hajkin, S. (2006). Nejronnye seti: polnyj kurs. 2nd ed. M.: OOO “I.D. Vil'jams“, 1104.
  20. Arsirij, E. A., Antoshhuk, S. G., Arsirij, V. A., Kravchenko, V. I. (2012). Intellektual'nyj analiz pri kompleksnom modelirovanii dlja povyshenija nadezhnosti raboty jenergeticheskogo oborudovanija. Radіoelektronnі і komp’juternі sistemi, № 6 (58), 89–94.

Published

2013-06-20

How to Cite

Арсірій, О. О. (2013). Developing of hydro-aerodynamic systems’ elements based on intellectual visualization. Eastern-European Journal of Enterprise Technologies, 3(8(63), 4–8. https://doi.org/10.15587/1729-4061.2013.14826

Issue

Section

Energy-saving technologies and equipment