中国机械工程Issue(11)：1433-1437,5.DOI:10.3969/j.issn.1004-132X.2014.11.003
基于主成分分析和线性判别的航空发动机状态监视
Condition Monitoring of Aero-engine Based on PCA and LDA
摘要
Abstract
This paper proposed an approach for aero-engine condition monitoring by sensors data based on PCA and LDA.The failure features of sensors data were re-extracted via PCA and LDA,and the engine conditions were classified by the nearest neighbor algorithm.The experiments were con-ducted on the 2008 IEEE PHM challenge data,and the proposed approach was compared with a PCA based classification method and a DBN based classification method.The results show that the pro-posed method exhibits a higher recognition accuracy with simpler structure which is practicable and ef-ficient to engineering apllications.关键词
航空发动机/状态监视/主成分分析/线性判别/深度信念网Key words
aero-engine/condition monitoring/principal component analysis (PCA)/linear dis-criminant analysis(LDA)/deep belief net(DBN)分类
航空航天引用本文复制引用
周媛,左洪福..基于主成分分析和线性判别的航空发动机状态监视[J].中国机械工程,2014,(11):1433-1437,5.基金项目
国家自然科学基金资助重点项目(60939003) （60939003）
