Vibration signals denoising method based on wavelet analysis

DOI

10.2991/icmmbe-16.2016.97How to use a DOI?

Keywords

wavelet analysis; multi resolution; threshold; denoising; Matlab

Abstract

At present, the application of gas insulated metal enclosed switchgear (GIS) in power system is used more and more widely, but the detection of GIS is often disturbed by various kinds of noise, which affects the effective location of the fault point. Commonly it can not reflect the frequency characteristics of the signal locally for using Fourier denoising method, moreover, it is difficult to meet the requirements of the actual detection. Based on this problem, the system used the soft and hard threshold method to set the threshold value of the vibration signal. And the method of wavelet analysis with multi resolution characteristics was used to reduce the noise effectively. Through the Matlab simulation and the actual test results to verify its accuracy, it proves that denoising method based on wavelet analysis is a suitable way to extract useful signals, improve Signal to Noise Ratio and locating accuracy.

Copyright

© 2016, 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  - Yaru Yue
AU  - Jialin Zhu
AU  - Shilong Zhu
PY  - 2016/09
DA  - 2016/09
TI  - Vibration signals denoising method based on wavelet analysis
BT  - Proceedings of the6th International Conference on Mechatronics, Materials, Biotechnology and Environment (ICMMBE 2016)
PB  - Atlantis Press
SP  - 521
EP  - 525
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmbe-16.2016.97
DO  - 10.2991/icmmbe-16.2016.97
ID  - Yue2016/09
ER  -