Application of Fuzzy Neural Networks on Missile Launcher Fault Prediction

Gui Fang Cai; Fan Jun Hu

doi:10.4028/www.scientific.net/AMM.347-350.879

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 347-350Application of Fuzzy Neural Networks on Missile...

Application of Fuzzy Neural Networks on Missile Launcher Fault Prediction

Abstract:

In order to improve the reliability, security and validity of such type Missile Launcher, The faults prediction theory is introduced based on fuzzy neural network. The faults prediction analysis model is built, and an advanced training algorithm is proposed. Such algorithm is tested by using in the fault prediction of the missile launcher. The Experiment results illustrate that by using the proposed model, the faults prediction speed is faster 80% than ever, the prediction veracity is advanced, and the cost is reduced to 50%.

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Periodical:

Applied Mechanics and Materials (Volumes 347-350)

Pages:

879-882

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.347-350.879

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Online since:

August 2013

Authors:

Gui Fang Cai, Fan Jun Hu

Keywords:

Arithmetic, Fault Prediction, Fuzzy Control, Fuzzy Neural Network (FNN), Missile Launcher

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