- Tytuł:
- Monitoring of high-speed shaft of gas turbine using artificial neural networks: predictive model application
- Autorzy:
-
Rahmoune, M. B.
Hafaifa, A.
Abdellah, K.
Chen, X. Q. - Powiązania:
- https://bibliotekanauki.pl/articles/328726.pdf
- Data publikacji:
- 2017
- Wydawca:
- Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
- Tematy:
-
monitoring
gas turbine
vibrations
artificial neural networks
predictive model
turbina gazowa
drgania
sztuczna sieć neuronowa
model predykcyjny - Opis:
- The automatic engineering known a very rapid progress with the consequent development of numerical methods and computer systems, by the growth of computational capacity. In this context, this work proposes a strategy of predictive control of the high-pressure shaft speed of a gas turbine using artificial neural networks in order to monitor the vibratory behavior of this rotating machine. This approach makes it possible to ensure the stability of this turbine under real conditions and to detect any deviation of their dynamic behavior from the margin of safety. This approach makes it possible to include the control limitations on the turbine variables in the modeling step of the high-speed shaft speed controller.
- Źródło:
-
Diagnostyka; 2017, 18, 4; 3-10
1641-6414
2449-5220 - Pojawia się w:
- Diagnostyka
- Dostawca treści:
- Biblioteka Nauki
Artykuł