中国物理B ›› 2013, Vol. 22 ›› Issue (3): 30504-030504.doi: 10.1088/1674-1056/22/3/030504
唐友福a b, 刘树林a, 姜锐红a, 刘颖慧a
Tang You-Fu (唐友福)a b, Liu Shu-Lin (刘树林)a, Jiang Rui-Hong (姜锐红)a, Liu Ying-Hui (刘颖慧)a
摘要: We focus on the study of the correlation between the detrended fluctuation analysis (DFA) and the Lempel-Ziv complexity (LZC) in nonlinear time series analysis in this paper. Typical dynamical systems including logistic map and Duffing model are investigated. Moreover, the influences of the Gaussian random noise on both DFA and LZC are analyzed. The results show a high correlation between DFA and LZC, which can quantify the non-stationarity and the nonlinearity of the time series, respectively. With the enhancement of the random component, the exponent α and the normalized complexity index C show increasing trends. In addition, C is found to be more sensitive to the fluctuation in the nonlinear time series than α. Finally, the correlation between DFA and LZC is applied to the feature extraction of vibration signals for a reciprocating compressor gas valve, and an effective fault diagnosis result is obtained.
中图分类号: (Nonlinear dynamics and chaos)