Local Mean Decomposition Combined with SVD and Application in Telemetry Vibration Signal Processing

DOI

10.2991/iccsee.2013.630How to use a DOI?

Keywords

local mean decomposition, SVD, telemetry, vibration signal processing, denoising

Abstract

To suppress the noise effect on the performance of local mean decomposition (LMD) in signal processing, a new method combined with singular value decomposition (SVD) denosing was proposed in this work. SVD is applied to denoise the observed signal, and then the signal decompose to series product functions (PF) by LMD, meanwhile, SVD is applied to denoise the PF and sum the PF to LMD again. This method can suppress the noise effect to attain high precision PF for time-frequency analysis. Simulation signal and telemetry vibration signal processing results show the effectiveness of the method.

Copyright

© 2013, 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  - Zhenxing LI
AU  - Weixiao DAI
PY  - 2013/03
DA  - 2013/03
TI  - Local Mean Decomposition Combined with SVD and Application in Telemetry Vibration Signal Processing
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2519
EP  - 2523
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.630
DO  - 10.2991/iccsee.2013.630
ID  - LI2013/03
ER  -