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

Xu Sheng Gan; Jing Shun Duanmu; Hai Long Gao

doi:10.4028/www.scientific.net/AMM.687-691.1404

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Prediction of Fault Severity of Aircraft and its...

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

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.

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Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

1404-1407

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.1404

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Online since:

November 2014

Authors:

Xu Sheng Gan*, Jing Shun Duanmu, Hai Long Gao

Keywords:

Aircraft, Bayesian Framework, Fault Severity, Mercer Condition, Relevance Vector Machine

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* - Corresponding Author

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