A Hybrid of NARX and Moving Average Structures for Exhaust Gas Temperature Prediction of Gas Turbine Engines

A Hybrid of NARX and Moving Average Structures for Exhaust Gas Temperature Prediction of Gas Turbine Engines

Aiming at engine health management, a novel hybrid prediction method is proposed for exhaust gas temperature (EGT) prediction of gas turbine engines. This hybrid model combines a nonlinear autoregressive with exogenous input (NARX) model and a moving average (MA) model. A feature attention mechanism...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Shuai Ma, Yafeng Wu, Hua Zheng, Linfeng Gou
Format: Artykuł
Język:English
Wydane: MDPI AG 2023-05-01
Seria:Aerospace
Hasła przedmiotowe:
gas turbine engine
feature attention mechanism
LSTM network
exhaust gas temperature
hybrid model
NARX model
Dostęp online:https://www.mdpi.com/2226-4310/10/6/496

Internet

https://www.mdpi.com/2226-4310/10/6/496

Podobne zapisy