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Abstract
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Article Information:
Denoising Process on Body Vibration Signals from Caterpillar Nodule Collector on the Soft Quality Bottom of the Sea
Zeng Yi-hui, Zhou Yucai, Liou Dao-cai and Zuo Qing-song
Corresponding Author: Zeng Yi-hui
Submitted: September 30, 2012
Accepted: December 02, 2012
Published: July 05, 2013 |
Abstract:
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Regarding the diversity and complexity of the road conditions on the soft sediment seabed, in order to improve the driving control precision of the caterpillar nodule collector, this study, focusing on the noise disturbance of the nodule collector body, adopts the methods of wavelet packet decomposition algorithm and Hilbert-Huang transformation algorithm to reconstruct the nodule collector body vibration signals, which are targeted by Hilber-Huang transformation algorithm to reach IMF fraction in the process of Empirical Mode Decomposition. Therefore, through the Hilbert spectrum analysis of IMF component, IMF component power characteristics are achieved, the available IMF component is optioned to reconstruct signals and the disturbance of the noise is eliminated. Comparing to the approach of wavelet decomposition, Hilbert-Huang transformation’s analysis and algorithm of the collector body’s vibration signals’ reconstruction are more accurate, providing valid control parameter to control the drive of caterpillar nodule collector on the soft quality bottom of the sea more precisely.
Key words: Empirical mode decomposition, hibert spectrum, hilber-huang changes, IMF component, nodule collector’s body vibration signals, wavelet decomposition,
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Cite this Reference:
Zeng Yi-hui, Zhou Yucai, Liou Dao-cai and Zuo Qing-song , . Denoising Process on Body Vibration Signals from Caterpillar Nodule Collector on the Soft Quality Bottom of the Sea. Research Journal of Applied Sciences, Engineering and Technology, (07): 1227-1232.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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