A Study of Hydraulic Signals Denoising Based on Morphological Filter and Ensemble Empirical Mode Decomposition
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| Title | A Study of Hydraulic Signals Denoising Based on Morphological Filter and Ensemble Empirical Mode Decomposition |
| Authors | |
| Abstract | According to some inherent shortcomings of traditional denoising algorithms, a new algorithm based on the morphological filter and Ensemble Empirical Mode Decomposition (EEMD) is presented. In this algorithm, firstly, preprocess the noisy signals with the combined morphology filters which are composed of open-close and close-open operations; secondly, decompose the noisy signals with EEMD algorithm, extract the IMF components based on the setting threshold; finally, recombine the extracted IMF components to get the denoising signals. The application verifies the feasibility and validity of the algorithm proposed in this paper, and the new method will have a good application prospect in hydraulic signals denoising. |
| Publisher | World Science Publisher |
| Date | 2012-05-31 |
| Source | 2166-2924 |
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