Purification of Axis Trace by Ensemble Empirical Mode Decomposition

Jia Xing Zhu; Wen Bin Zhang; Ya Song Pu; Yan Jie Zhou

doi:10.4028/www.scientific.net/AMR.791-793.1006

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 791-793Purification of Axis Trace by Ensemble Empirical...

Purification of Axis Trace by Ensemble Empirical Mode Decomposition

Abstract:

Aiming at the purification of axis trace, a novel method was proposed by using ensemble empirical mode decomposition (EEMD). Ensemble empirical mode decomposition decomposed a complicated signal into a collection of intrinsic mode functions (IMFs). Then according to prior knowledge of rotating machinery, chose intrinsic mode function components and reconstructed the signal. Finally the purification of axis trace was obtained. Simulation and practical results show the advantage of ensemble empirical mode decomposition. This method also has simple algorithm and high calculating speed; it provides a new method for purification of axis trace.

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Periodical:

Advanced Materials Research (Volumes 791-793)

Pages:

1006-1009

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.791-793.1006

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Online since:

September 2013

Authors:

Jia Xing Zhu, Wen Bin Zhang, Ya Song Pu, Yan Jie Zhou

Keywords:

Axis Trace, Ensemble Empirical Mode Decomposition, Purification, Rotating Machinery, Rotor

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