基于卡尔曼滤波和主元分析的发动机性能衰退

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，分布，对性能衰退情况做进一步分析，得到在10000时间点附近性能衰退最为严重，已超过阀值，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。

Engine Performance Deterioration Based on Kalman Filter and Principle Component Analysis

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.