MODELING FAILURE RATE FOR FOKKER F-27 TIRES USING NEURAL-NETWORK

Authors
ALGARNI AZ AHMED SA SIDDIQUI M
Citation
Az. Algarni et al., MODELING FAILURE RATE FOR FOKKER F-27 TIRES USING NEURAL-NETWORK, Transactions of the Japan Society for Aeronautical and Space Sciences, 41(131), 1998, pp. 29-37
Citations number
11
Categorie Soggetti
Aerospace Engineering & Tecnology
Journal title
Transactions of the Japan Society for Aeronautical and Space Sciences → ACNP
ISSN journal
05493811
Volume
41
Issue
131
Year of publication
1998
Pages
29 - 37
Database
ISI
SICI code
0549-3811(1998)41:131<29:MFRFFF>2.0.ZU;2-P
Abstract
An artificial neural network (ANN) model for predicting the failure ra te of Fokker F-27 airplane tires utilizing the backpropagation algorit hm as a learning rule is presented. A comparison of the neural model w ith the Weibull model is made for validation purposes. The results sho w that the failure rate predicted by the ANN is closer in agreement wi th the real data than the failure rate predicted by the Weibull model.