Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)

The Research on the De-Noising Method for Signals Based On CEEMD

Authors
Wei Huang, Wei-chang Xu, Ya-ke Wu, Hong-li Hao
Corresponding Author
Wei Huang
Available Online December 2016.
DOI
https://doi.org/10.2991/iceeecs-16.2016.141How to use a DOI?
Keywords
vibration signal; de-noising; CEEMD; random noise
Abstract
Dynamical properties of mechanical systems can be obtained with the vibration signals from the systems. However, for the influence of noises, it is difficult to accurately acquire the features. Therefore, de-noising operation is significant for vibration signal in the practical engineering. In order to resolve this problem, the Complementary Ensemble Empirical Mode Decomposition (CEEMD) method is introduced to try to eliminate noises from the analyzed signal. At first, the theory of the method is illustrated, which included adding white noises, EMD for the signal and calculating the mean of the intrinsic mode function. On this base, the signal which contains several harmonic components with white noise is processed by CEEMD. As the result shown, the random noise can be effectively removed; moreover, the harmonic components can be accurately separated. And these improve that the CEEMD is an effective method for the de-noising.
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Proceedings
2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
Part of series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
978-94-6252-265-7
ISSN
2352-538X
DOI
https://doi.org/10.2991/iceeecs-16.2016.141How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Wei Huang
AU  - Wei-chang Xu
AU  - Ya-ke Wu
AU  - Hong-li Hao
PY  - 2016/12
DA  - 2016/12
TI  - The Research on the De-Noising Method for Signals Based On CEEMD
BT  - 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.141
DO  - https://doi.org/10.2991/iceeecs-16.2016.141
ID  - Huang2016/12
ER  -