HHT在发动机实验数据处理中的应用

The Application of Hilbert—Huang Transform in Engine Test Data Procession

Hilbert-Huang变换是最近发展起来的处理非线性非平稳信号的时频分析方法,该方法的关键部分是经验模态分解.针对经验模态分解的特点和发动机实测实验数据的特点,设计了经验模态分解过程中避免端点飞翼及有效获取数据局部极值点及包络线计算的方法,并通过实例,验证了该方法在发动机实验数据处理过程中的有效性.

Hilbert--Huang transform （HHT） is a new time-frequency analytic method for analyzing a nonlinear and non-stationary signal. The key part of this method is the empirical mode decomposition （EMD）. According to the characteristic of both EMD and engine test data, a new technique that can remove the end swing phenomenon and can obtain proper envelope line point is employed. The research result shows that the method of HHT is suitable for the analysis of engine test data procession.