基于卡尔曼滤波和主元分析的发动机性能衰退  

Engine Performance Deterioration Based on Kalman Filter and Principle Component Analysis

作　　者：李冬[1] 李本威[2] 赵鹏飞 赵凯[1] 朱飞翔[1] 

机构地区：[1]海军航空工程学院研究生管理大队 [2]海军航空工程学院飞行器工程系 [3]92407部队

出　　处：《海军航空工程学院学报》2013年第2期127-132,共6页Journal of Naval Aeronautical and Astronautical University

摘　　要：在给定测量参数基础上,通过非线性估计得到对应离散时刻的部件性能参数,利用数据插值方法扩充测量参数。利用主元分析方法对这些测量参数进行分解,提取反映性能衰退的成分,以此构造反映性能变化的统计量,假定该统计量服从F分布,对性能衰退情况做进一步分析,得到在10 000时间点附近性能衰退最为严重,已超过阈值,与前面参数估计结果相符。用部件性能衰退分析方法对发动机性能状况监控,为及时采取维护措施提供了一定的指导作用。Component performance parameter of corresponding discrete time was gained by non-nonlinear parameter estimation on basis of given measurement. Measurement was added by interplotation. Measurement was decom- posed by PCA and component that expresses performance deterioration was extracted. Statistics of performance variation was established by this, assuming the statistic submit F distribution, furtherly analyzing performance de- terioration, and the performance deterioration near 10000th was most severe, even exceeding valve value. It was- correspond with estimated result afore-mentioned. Analysis＇ method of component performance deterioration provided a reference to monitoring engine performance and adopting maintenance timely.

关 键 词：性能衰退 卡尔曼滤波 主元分析 非线性估计 统计量 

分 类 号：V235.1[航空宇航科学与技术—航空宇航推进理论与工程]