机械科学与技术2017，Vol.36Issue(1)：152-160,9.DOI:10.13433/j.cnki.1003-8728.2017.0122
SVR在航空发动机基线挖掘中的应用研究
The Application Research of Support Vector Regression in Aero-engine's Baseline Mining
摘要
Abstract
As the aero-engine's baseline is difficult to get,Support Vector Regression (SVR) is used with data from monitoring systems of manufacturers and Quick Access Recorder (QAR) to do baseline mining analysis,providing a variety of ways to get baseline and the results turned out to have a good reliability.SVR is fast and precise in dealing with nonlinear regression analysis.Single parameter regression and multi-parameter regression can be processed by using SVR.The conclusion can be drawn from analysis of calculation results that multi-parameter regression of SVR has a lot of advantages such as small deviation and high accuracy compared with linear regression and single parameter regression of SVR.As a result,the accuracy of the aero-engine's monitoring can be improved effectively.关键词
航空发动机基线/支持向量回归机/厂家监控系统/快速存储记录器/多参数基线回归Key words
aero-engine's baseline/SVR/monitoring system of manufacturers/QAR/multi-parameter regression of SVR分类
航空航天引用本文复制引用
曹惠玲,张卓,曲春刚..SVR在航空发动机基线挖掘中的应用研究[J].机械科学与技术,2017,36(1):152-160,9.基金项目
中央高校基本科研业务费专项资金项目(ZXH2012P007)资助 （ZXH2012P007）
