摘要: |
为了准确地预测气象雷达使用寿命, 提高气象雷达运行可靠性、安全性和可维护性,
提出了一种新的基于多元回归的气象雷达使用寿命预测框架。在该框架内,采用了支持向量
回归(SVR)方法来求解气象雷达使用寿命的多元回归问题;提出了基于SVR的气象雷达特征参
数选择FSSSVR(Feature Subset Selection SVR)算法去掉冗余和无效的特征参数。实验结
果表明,基于SVR方法的预测算法能够准确地预测气象雷达的使用寿命,能够为雷达全寿命
周期管理提供参考依据。 |
关键词: 气象雷达 使用寿命预测 支持向量回归 全寿命周期管理 |
DOI: |
|
基金项目:公益性行业(气象)科研专项资助项目(GYHY201006051) |
|
Weather radar’s life prediction using support vector regression |
FANG Rui,LI Xiang-mei,TU Ai-qin |
() |
Abstract: |
In order to accurately predict the life of weather radar and improve its r
eliability, security, maintainability, a novel framework for pr
edicting weather radar′s life is proposed, which is based on multiple regressio
n method.Within the framework, Support Vector Regression (SVR) is induced to sol
ve the multivariate regression problem of weather radar′s life, and then, a fe
ature subset selection SVR(FSSSVR) algorithm is developed to remove redundant an
d ineffective components of characteristic parameters.
Finally, simulation results demonstrate that SVRbased prediction algorithm is
able to accurately forecast the life of weather radar, and provide reference for
full lifecycle management of weather radar. |
Key words: weather radar life prediction support vector regression life cycle management |