不同的相位随机化对时序混沌特征影响的研究

Study on the Two Different Kinds of Phase Randomized for Diagnosis of Chaotic Nature of the Experimental Data

利用相位随机化的替代数据方法研究了２种不同分布的随机数对动力系统实测时序数据判值影响的程度．计算结果表明：相位的充分随机化可以提高判别的准确程度，把此判据用于随机时序与非线性混沌时序所得的判值有明显的差异；且不同分布的随机数相位充分随机化后对临界值无质的影响．

In this paper surrogate data method of phase randomized is proposed to identify the random or chaotic nature of the data obtained in dynamic analysis,and the influence on critical value of the different distributed phase randomization to the data obtained in dynamic analysis is studied. The calculation results validate that the sufficient phase randomization can increase the accurate extent of the identification,and the calculation results show that the critical value of the random time series or nonlinear chaotic time series are manifestly different.The calculation results validate that the sufficient phase randomization of the different distributed random number has less influence on the critical value.