The Research on the De-Noising Method for Signals Based On CEEMD
Wei Huang, Wei-chang Xu, Ya-ke Wu, Hong-li Hao
Available Online December 2016.
- https://doi.org/10.2991/iceeecs-16.2016.141How to use a DOI?
- vibration signal; de-noising; CEEMD; random noise
- 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.
- 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 -