Title :
Application of Improved Empirical Mode Decomposition Based on Grey Prediction in Gear Transmission System
Author_Institution :
Sch. of Electron. Inf. Eng., Taiyuan Univ. of Sci. & Technol., Taiyuan, China
Abstract :
In this paper an the envelope extension method based on grey prediction is proposed to restrain the end effects of empirical mode decomposition (EMD). The extended signal can reflect trend of raw signal envelope amplitudes, this extension method is simple and ideal. Based on improvement of the empirical mode decomposition, EMD decomposition is used to decompose vibration signal of gear transmission system and its marginal spectrum is calculated. The results show that improved empirical mode decomposition based on grey prediction is an effective method.
Keywords :
gears; grey systems; power transmission (mechanical); vibrations; envelope extension method; gear transmission system; grey prediction; improved empirical mode decomposition; vibration signal; Differential equations; Fault diagnosis; Fitting; Gears; Mirrors; Predictive models; Spline; empirical mode decomposition; end effects; gear transmission system; grey prediction;
Conference_Titel :
Computational Aspects of Social Networks (CASoN), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-8785-1
DOI :
10.1109/CASoN.2010.157
