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
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;
Conference_Titel :
Innovative Computing, Information and Control, 2007. ICICIC '07. Second International Conference on
Conference_Location :
Kumamoto
Print_ISBN :
0-7695-2882-1
DOI :
10.1109/ICICIC.2007.308