Nonlinear response prediction of cracked rotor based on EMD

被引:32
|
作者
Yang, Yongfeng [1 ]
Chen, Hu [1 ]
Jiang, Tingdong [1 ]
机构
[1] Northwestern Polytech Univ, Xian 710072, Peoples R China
基金
中国国家自然科学基金;
关键词
EMPIRICAL MODE DECOMPOSITION; LYAPUNOV EXPONENTS; TIME-SERIES; VIBRATION; DYNAMICS; IDENTIFICATION; SYSTEMS; IMPACT; INDEX; CHAOS;
D O I
10.1016/j.jfranklin.2014.12.015
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The empirical mode decomposition (EMD) method is introduced, to improve the prediction accuracy of cracked rotor's nonlinear response during a long-term period. The EMD method was applied to decompose the nonlinear response into series of intrinsic mode functions (IMF). Consequently, the prediction results of IMF were obtained, based on the maximal local Lyapunov exponent (LLE). By adding all the prediction results of IMF, the nonlinear response of cracked rotor can be predicted, called the IMF prediction method. Compared with the response predicted directly by the maximal local Lyapunov exponent, when the forecasting step is less than the maximal prediction time which is calculated by the multiplicative inverse of maximal Lyapunov exponent, the IMF method has the same prediction accuracy. When the forecasting step is greater than maximal prediction time, the IMF prediction method is more advantageous than the Lyapunov prediction method. Bently RK4 rotor test is used to validate the IMF prediction method's advantage. (C) 2015 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:3378 / 3393
页数:16
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