利用系统从混沌状态到大周期转变时所表现出的共振锁频性质，进行了微弱频率变化信号的仿真提取。
The simulated extraction of weak frequency variation signal is carried out with the expressed Resonant frequency locking property when system transits from chaotic to great periodic motion.
而时域同步平均可以有效衰减与回转频率无关的干扰，提取与工作状态直接相关的周期信号。
Time domain synchronous averaging can reduce the signal not coherent to rotation frequency effectively, and extract the repetitive signals directly related to machine operation condition.
时域平均法是从混有噪声的信号中提取周期性分量的最有效方法。
The time domain average method is an efficient method to extract period components from the signal mixed with noise.
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