Radiotekhnika
Publishing house Radiotekhnika

"Publishing house Radiotekhnika":
scientific and technical literature.
Books and journals of publishing houses: IPRZHR, RS-PRESS, SCIENCE-PRESS


Тел.: +7 (495) 625-9241

 

Calculation of oil system parameters of aviation GTE on the basis of neural network technology

Keywords:

S.V. Zhernakov, R.F. Ravilov


The neural network algorithms of technical condition checking and diagnosis for aeroengine gas-turbine engines oil system are considered. The problem of complex evaluation of GTE rotor thermal condition in the neural network basis is formalized. The engineering technique for applying at the stages of stand and on-board tests of aviation GTE is proposed. The comparative analysis of neural networks and «classical» methods for checking and diagnosing parameters of Aeroengine oil system is presented. The recommendations on applying the developed method in practice are given.
References:
  1. ZHernakov S.V.Identifikacija kharakteristik GTD na osnove tekhnologii nejjronnykh setejj // Informacionnye tekhnologii. 2010. № 3. S.39–47. 
  2. ZHernakov S.V., Ravilov R.F. Identifikacija kharakteristik gazoturbinnogo dvigatelja i ego masljanojj sistemy na osnove tekhnologii nejjronnykh setejj // Intellektualnye sistemy v proizvodstve. 2011. T. 17. № 1. S. 91–104.
  3. ZHernakov S.V., Ravilov R.F. Identifikacija obratnojj mnogorezhimnojj modeli GTD po parametram ego masljanojj sistemy na osnove tekhnologii nejjronnykh setejj // Vestnik IzhGTU. T. 51. 2011. №3.S.126–129.
  4. ZHernakov S.V., Kobylev S.V. Kontrol i diagnostika kompleksnykh otkazov SAU GTD s ispolzovaniem rekur­rentnykh nejjronnykh setejj // Nejjrokompjutery: razrabotka, primenenie. 2011. № 10. S. 28-45.

© Издательство «РАДИОТЕХНИКА», 2004-2017            Тел.: (495) 625-9241                   Designed by [SWAP]Studio