CAJ | 학술논문

航空发动机健康监控是实现航空发动机健康管理的关键技术之一。针对航空发动机健康监控高维计算复杂度高的问题，提出了一种基于主成分分析与马氏距离结合的计算方法。首先通过主成分分析对性能监测参数进行降维，并采用马氏距离计算发动机的健康参数，最终根据威布尔分布确定健康参数的警戒值。实例计算结果表明，方法能够较好反映航空发动机健康状态，并能检测运行过程中出现的异常点。
항공발동궤건강감공시실현항공발동궤건강관리적관건기술지일。침대항공발동궤건강감공고유계산복잡도고적문제，제출료일충기우주성분분석여마씨거리결합적계산방법。수선통과주성분분석대성능감측삼수진행강유，병채용마씨거리계산발동궤적건강삼수，최종근거위포이분포학정건강삼수적경계치。실례계산결과표명，방법능구교호반영항공발동궤건강상태，병능검측운행과정중출현적이상점。
Aero-engine health Monitoring is the key to implement engine health management ( EHM ) . Dealing with the high-dimension computation complexity ,a method which combined principal component analysis(PCA) and Mahalanobis distance (MD) was proposed.The proposed method used PCA to reduce the dimension of monitored data ,calculated the health value of engines by MD and set the sentinel values conditioned on Weibull distribution .Numeric results showed that the proposed method played a good part in engines health monitoring and anomaly detection .