首先，利用奇异摄动理论对再入飞行器状态变量进行两个时间尺度的划分，将系统状态方程分解成两个低维子系统。
Firstly, the state variables of the reentry vehicle are decomposed into two sub-systems of different time scales using the singular perturbation theory.
为了避免经验模式分解(EMD)过程中不同时间尺度函数间的模式混叠，采用基于高斯白噪声加入的经验模式分解方法，并将之应用于旋转机械故障诊断中。
The EMD added Gauss white noise is proposed to avoid mode mixing of different time-scale IMF, and is applied in fault diagnosis for rotating machine.
在此基础上对低温冷害指数进行经验正交分解和小波分析，得到其时空变化规律及多时间尺度特征。
By experience orthogonal function analysis and wavelet analysis on chilling damage indices, it showed spatial-temporal variation in the regulation and multiple-time-scale characteristics.
应用推荐