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Prediction of Fault Severity of Aircraft and its Equipments Based on Relevance Vector Machine

Authors :
Jing Shun Duanmu
Xu Sheng Gan
Hai Long Gao
Source :
Applied Mechanics and Materials. :1404-1407
Publication Year :
2014
Publisher :
Trans Tech Publications, Ltd., 2014.

Abstract

To predict the fault severity of aircraft and its equipments, a modeling and predicting method based on Relevance Vector Machine (RVM) under Bayesian framework is proposed to solve the problem. First the principle and realization step of RVM are detailed, and then RVM is introduced in prediction of fault severity of aircraft and its equipments. The prediction result indicates that the proposed model has a good prediction to fault severity of aircraft and its equipments.

Details

ISSN :
16627482
Database :
OpenAIRE
Journal :
Applied Mechanics and Materials
Accession number :
edsair.doi...........a37bbf2a8b36afcc12ffbd29eef22173