Research Article | OPEN ACCESS
Denoising Process on Body Vibration Signals from Caterpillar Nodule Collector on the Soft Quality Bottom of the Sea
1, 2Zeng Yi-hui, 2Zhou Yucai, 1Liou Dao-cai and 3Zuo Qing-song
1Anhui Wonder University of Information Engineering, Hefei 231201, Anhui, China
2College of Mechanical and Electrical Engineering of Central South University,
Changsha 410083, Hunan, China
3College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, Hunan, China
Research Journal of Applied Sciences, Engineering and Technology 2013 7:1227-1232
Received: September 30, 2012 | Accepted: December 02, 2012 | Published: July 05, 2013
Abstract
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.
Keywords:
Empirical mode decomposition, hibert spectrum, hilber-huang changes, IMF component, nodule collector, wavelet decomposition,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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