- Tytuł:
- Decision making about aircraft engine blades condition by using neural network at the steady-state and non-steady-state modes
- Autorzy:
-
Bouraou, N.
Zazhitskiy, O. - Powiązania:
- https://bibliotekanauki.pl/articles/329284.pdf
- Data publikacji:
- 2008
- Wydawca:
- Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
- Tematy:
-
sieć neuronowa
diagnostyka wibroakustyczna
monitoring
blade
crack-like damage
vibroacoustical condition monitoring
neural network - Opis:
- The work is devoted to problem solution of the gas-turbine engines (GTE) blades condition monitoring and diagnosis of the crack-like damages at the steady-state and non-steady-state modes of GTE. It is based on the development of theoretical basis of the vibroacoustical diagnosis methods, the application of the modern signal processing methods and new information technique for decision making. The application of the following signal processing methods: Wavelet-transformation and dimensionless characteristics of the vibroacoustical signals is proved. Neural networks are used for decision making about blades condition by the above mentioned features application. Classification of turbine blade condition was carried out using a two-layer Probability Neural Network (PNN).
- Źródło:
-
Diagnostyka; 2008, 3(47); 71-74
1641-6414
2449-5220 - Pojawia się w:
- Diagnostyka
- Dostawca treści:
- Biblioteka Nauki
Artykuł