The Estimation Algorithm for Component Health Parameter of Turbofan Engine

被引：0
|
作者：
Pan, Wang [1 ]
Nong, Cheng [1 ,2 ]
Qing, Li [1 ]
机构：
[1] Tsinghua Univ, Beijing 10084, Peoples R China
[2] Flight Automat Control Res Inst, Sci & Technol Aircraft Control Lab, Xian 710065, Peoples R China
来源：
2016 IEEE CHINESE GUIDANCE, NAVIGATION AND CONTROL CONFERENCE (CGNCC) | 2016年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
For the measurements selection in the component health parameter estimation of turbofan engine, the paper proposes an optimization method. It gives a combination of measurement parameters selection through the health parameters correlation analysis and the condition number of coefficient matrix analysis. The linear estimation method of components health parameters is presented on the basis of measurement selection. At the same time, in order to solve the on-line real-time evaluation of health parameters in engineering, the paper augments the health parameters into state equation. The Kalman filter algorithm can still estimate the health parameters accurately using the chosen measurement parameters. It proves the correctness and effectiveness of the optimization method.
引用
收藏
页码：75 / 80
页数：6
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