DocumentCode :
2024273
Title :
Fault diagnosis modeling of rotating speed sway for avion engine based on Fuzzy Neural Network
Author :
Qu, Dongcai ; Feng, Yuguang ; Liu, Lingshun ; Zhang, Ruizhi
Author_Institution :
Dept. of Control Eng., Naval Aeronaut. & Astronaut. Univ., Yantai, China
Volume :
3
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
1234
Lastpage :
1237
Abstract :
Owing to human´s experiences being rarely applied in the traditional fault diagnosis procedure, a kind of fault diagnosis model of rotating speed sway is established based on Fuzzy Neural Network (FNN) for avion engine. The fault diagnosis model can simulate expert´s fault diagnosis procedure, and improve fault diagnosis performance of rotating speed sway for avion engine. The simulation results show that fault diagnosis model can absorb human´s experiences, and make accurate judgments, the trained FNN has the same performance, and has solve self-learning problem.
Keywords :
aerospace engines; avionics; fault diagnosis; fuzzy neural nets; matrix algebra; mechanical engineering computing; avion engine; fault diagnosis modeling; fuzzy neural network; rotating speed sway; self-learning problem; Circuit faults; Compounds; Engines; Fault diagnosis; Fuzzy control; Fuzzy neural networks; Velocity control; Fault Diagnosis; Fuzzy Algorithms; Neural Network; Rotating Speed Sway; Simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
Type :
conf
DOI :
10.1109/FSKD.2010.5569130
Filename :
5569130
Link To Document :
بازگشت