基于混沌时间序列理论的发动机状态参数降噪研究  

Research on Denoising Aeroengine Condition Parameters Based on Chaotic Time Series

作　　者：王小飞[1] 曲建岭[1] 高峰[1] 周玉平[1] 姚凌虹[1] 

机构地区：[1]海军航空工程学院青岛校区,山东青岛266041

出　　处：《测控技术》2015年第3期63-66,70,共5页Measurement & Control Technology

摘　　要：针对因缺乏未染噪数据而难以考查航空发动机状态参数降噪效果的问题,提出了基于混沌时间序列理论来考查其降噪效果的办法,并结合实例考查了小波、奇异谱分析和局部投影3种降噪方法对航空发动机状态参数的降噪效果。仿真结果表明,局部投影法更多地保留了发动机状态参数的混沌特性,适用于航空发动机状态参数的降噪处理。It is difficult to check the effect of denoising aeroengine condition parameters, because the pure data can hardly be extracted. A checking method based on the theory of chaotic time series is proposed to solve this problem. Meanwhile the effects of denoising aeroengine condition parameters are compared by using wavelet, singular spectrum analysis and local projection through experiment. Simulation results show that the local pro- jection method has more performance advantages in preserving the chaotic characteristics, which is adequate for denoising aeroengine condition parameters.

关 键 词：航空发动机状态参数 混沌时间序列 局部投影 

分 类 号：V231[航空宇航科学与技术—航空宇航推进理论与工程]