DocumentCode
2741098
Title
Fault Prediction System Based on Neural Network Model
Author
Li Bin ; Zhang Wei-guo ; Ning Dong-fang ; Yin Wei
Author_Institution
Northwestern Polytech. Univ., Xi´an
fYear
2007
fDate
5-7 Sept. 2007
Firstpage
496
Lastpage
496
Abstract
In the fault diagnosis of the plane steering surface, exact fault prediction is very important for the security of the aircraft. According to design requirement of the plane steering surface fault prediction system, the application of neural network technique is plane fault prediction is presented, and the algorithm based on the neural network model in the prediction system is given. Considering the advantage of neural network technique, the neural network and the fault prediction technique with expert are combined to form a fault prediction system. Finally, taking the steering surface of plane as an example to realize fault prediction, the result proves that the forecast model and algorithm based on the neural network are feasible.
Keywords
aircraft; fault diagnosis; neural nets; security; steering systems; aircraft security; fault diagnosis; fault prediction system; neural network; plane steering surface; Aircraft; Algorithm design and analysis; Arithmetic; Automation; Educational institutions; Fault diagnosis; Intelligent robots; Neural networks; Predictive models; Support vector machines;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location
Kumamoto
Print_ISBN
0-7695-2882-1
Type
conf
DOI
10.1109/ICICIC.2007.308
Filename
4428138
Link To Document