Fault prediction system based on neural network model

Bin Li, Wei Guo Zhang, Dong Fang Ning, Wei Yin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

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.

Original languageEnglish
Title of host publicationSecond International Conference on Innovative Computing, Information and Control, ICICIC 2007
DOIs
StatePublished - 2008
Event2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007 - Kumamoto, Japan
Duration: 5 Sep 20077 Sep 2007

Publication series

NameSecond International Conference on Innovative Computing, Information and Control, ICICIC 2007

Conference

Conference2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007
Country/TerritoryJapan
CityKumamoto
Period5/09/077/09/07

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