Aero-Engine Adaptive Model Using Recursive Reduced Least Squares Support Vector Regression

Ling Ping Jiang

doi:10.4028/www.scientific.net/AMM.65.218

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 65Aero-Engine Adaptive Model Using Recursive Reduced...

Aero-Engine Adaptive Model Using Recursive Reduced Least Squares Support Vector Regression

Abstract:

In consideration of the problem in traditional aero-engine adaptive model, a new algorithm was proposed based on Recursive Reduced Least Squares Support Vector Regression (RRLSSVR). Feature Selection of model input and flight envelope divided was needed before the model established, then adaptive model was developed in every small envelope. Finally, an adaptive model was applied to validate the effectiveness and feasibility of the proposed feature selection algorithm and sparse model using RRLSSVR.

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Periodical:

Applied Mechanics and Materials (Volume 65)

Pages:

218-223

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.65.218

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Online since:

June 2011

Authors:

Ling Ping Jiang

Keywords:

Adaptive Model, Aero-Engine, Least Squares Support Vector Regression (LSSVM)

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