Ship Radiated Noise Modulation Feature Extraction Based on CEEMD and Wavelet Threshold Noise Reduction

DOI

10.2991/iiicec-15.2015.383How to use a DOI?

Keywords

CEEMD; Wavelet Transform; Modulation Feature.

Abstract

Ship propeller beats have obvious amplitude modulation to the cavitation noise of its radiation. The DEMON (Detection of Envelope Modulation on Noise) spectrum analysis technology is to demodulate the high frequency components to get the low frequency modulation components. This paper studied the new method to combine the complementary ensemble empirical mode decomposition (CEEMD) with wavelet threshold to reduce the noise. After verifying the method using both simulated signal and experimental signal, it is concluded that this algorithm has good noise suppression performance and the modulation information extracted out is clearer and more comprehensive.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yue Pan
AU  - Anbang Zhao
AU  - Jiangqiao Li
AU  - Xiaoliang Zhang
PY  - 2015/03
DA  - 2015/03
TI  - Ship Radiated Noise Modulation Feature Extraction Based on CEEMD and Wavelet Threshold Noise Reduction
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 1763
EP  - 1766
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.383
DO  - 10.2991/iiicec-15.2015.383
ID  - Pan2015/03
ER  -