- Tytuł:
- An unscented Kalman filter in designing dynamic GMDH neural networks for robust fault detection
- Autorzy:
- Mrugalski, M.
- Powiązania:
- https://bibliotekanauki.pl/articles/331364.pdf
- Data publikacji:
- 2013
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
robust fault detection
nonlinear system identification
dynamic GMDH neural network
unscented Kalman filter
detekcja uszkodzeń
identyfikacja nieliniowa
sieć neuronowa dynamiczna
filtr Kalmana bezśladowy - Opis:
- This paper presents an identification method of dynamic systems based on a group method of data handling approach. In particular, a new structure of the dynamic multi-input multi-output neuron in a state-space representation is proposed. Moreover, a new training algorithm of the neural network based on the unscented Kalman filter is presented. The final part of the work contains an illustrative example regarding the application of the proposed approach to robust fault detection of a tunnel furnace.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2013, 23, 1; 157-169
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł