Dynamic chaos features auto-extracting technique of non-linear time series

A new method is put forward,which can implement auto-extracting of chaos features of nonlinear time series.It can directly from non-linear time series compute the chaos features such as delay time,embedded dimensions,correlation dimension,maximum Lyapunov exponents,phase track features and Poincare map features,and the whole features extracting process is carried out automatically without manpower intervention.Finally,examples show the validity and correctness of the new method.The new chaos features extracting method has important meaning to fault diagnosis of nonlinear system by nonlinear chaos feature.