测控技术2012，Vol.31Issue(1)：128-131,4.
基于部件参数估计的航空发动机故障预测技术研究
A Health Prognostics Approach Research for Turbofan Engine
朱玉斌 1方中祥 2侯朝焕 1马晓川1
作者信息
- 1. 中国科学院声学研究所,北京100190
- 2. 中航工业北京长城航空测控技术研究所,北京100176
- 折叠
摘要
Abstract
According to the requirement of prognostics and health management system in turbofan engine, a prognostics approach based on components health parameter estimation is presented for the gas path faults. The health evaluation is used to anticipate future maintenance and prognoses the gas path fault. The application considered is turbofan engine health parameter estimation, which offers the benefits of improving safety and reducing operating costs. The emphasis is focused on the research of applying Kalman filter to estimate engine component efficiencies and flow capacities, which are referred to as health parameters. The health parameters that tried to estimate can be modeled as slowly varying biases. The state vector of the dynamic model is augmented to include the health parameters, which are estimated with a Kalman filter. On the basis of engine state and the varying rate of the health parameters, the gas path faults can be prognosticated. Finally the example for the deteriorated engine is established in H = 15 km, Ma = 1.6. Simulation results from application to a turbofan model show that the system has perfect performance of estimating the health parameter. The simulation results demonstrate the effectiveness of this method, particularly for turbofan engine health estimation.关键词
涡扇发动机/预测与健康管理系统/故障预测/参数估计Key words
turbofan engine/ prognostics and health management system/ fault prognostics/ parameter estimation分类
信息技术与安全科学引用本文复制引用
朱玉斌,方中祥,侯朝焕,马晓川..基于部件参数估计的航空发动机故障预测技术研究[J].测控技术,2012,31(1):128-131,4.
