论文部分内容阅读
针对航空发动机工作范围内存在的气动失稳现象,运用希尔伯特-黄变换(HHT)分析其信号的时变特征;通过对其处理非线性、非平稳信号分析新方法与其他时频分析方法的对比,并对HHT存在的问题进行针对性解决,使其适应航空发动机气动失稳数据分析的要求。并在Labview平台上通过数字仿真试验实现和验证了HHT方法;结果表明:此算法准确有效;通过航空发动机工程试验数据的处理过程,验证了HHT在处理此类相关问题时的可行性、适用性,同时指出其仍然存在的缺陷。
Aiming at the aerodynamic instability existed in the working range of aeroengine, HHT was used to analyze the time-varying characteristics of the signal. A new method of nonlinear and non-stationary signal analysis was used to analyze the time-varying characteristics of the aerodynamic instability. Methods, and the problems existing in HHT are solved in a targeted manner to adapt to the requirements of aero-engine aerodynamic instability data analysis. The HHT method was implemented and verified by digital simulation on Labview platform. The results show that the algorithm is accurate and effective. The feasibility and applicability of HHT in dealing with such related problems are verified by the process of aeroengine test data , At the same time point out its still existing defects.