Paper Title:
Denoising of the Base Vibration Signal Based on EEMD
| Periodical | Applied Mechanics and Materials (Volumes 143 - 144) |
|---|---|
| Main Theme | Electrical Information and Mechatronics and Applications |
| Edited by | Xudong Wang, Baoyu Xu and Shaobo Zhong |
| Pages | 689-693 |
| DOI | 10.4028/www.scientific.net/AMM.143-144.689 |
| Citation | X.J. Li et al., 2011, Applied Mechanics and Materials, 143-144, 689 |
| Online since | December, 2011 |
| Authors | X.J. Li, K. Wang, G.B. Wang, Q. Li |
| Keywords | Base, EEMD, Intrinsic Mode Function (IMF), Signal Denoising |
| Price | US$ 28,- |
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Abstract
Vibration signals of rotating machinery on the base are very weak and always buried in noisy noise; the common denoising methods have become powerless. It presents an ensemble empirical mode decomposition method (EEMD) that is used to denoise for the base vibration signal, which not only to overcome the problem of mode mixing, but also to avoid the selection of wavelet basis function and decomposition level of the problem. Experimental results of simulation and measured data show that EEMD method can effectively reduce the base vibration signal noise, which is better than the wavelet and EMD denoising method.
