z-logo
open-access-imgOpen Access
A threshold research for de-noising operation to the vibration signals based on wavelet package
Author(s) -
Wenpeng Mi,
Weiwei Dong,
Liang Li,
Lingjian Kong,
Yanglin Sun,
Chao Chen
Publication year - 2019
Publication title -
iop conference series materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/612/3/032037
Subject(s) - wavelet , vibration , computer science , noise (video) , acoustics , signal (programming language) , gaussian noise , electronic engineering , engineering , artificial intelligence , physics , image (mathematics) , programming language
Vibration signals are often interfered by salt and pepper noise, impulse noise, Gaussian noise, and other high-frequency noise, affecting the effect of vibration control research. Therefore, de-noising operation is significant for vibration signal in the practical engineering. In order to resolve this problem, wavelet package is used to remove noises from vibration signal. We provide the principle of de-noising method based on wavelet package at first. And then, the threshold selection of the method is analyzed by a vibration signal with noises. As the result shown, the noise can be effectively eliminated. This reflects that the de-noising method based on wavelet package with the hard threshold is effective.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom