Open AccessResearch on de-noising operation to the vibration signals based on discrete wavelet transform with hard threshold
Author(s) -
Wenpeng Mi,
Wei-chang Xu,
Cunqun Jiang,
Guocheng Zhu,
Hongguang Wang,
Pengpeng Liu,
Xiangping Kong
Publication year - 2020
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/782/3/032004
Subject(s) - discrete wavelet transform , vibration , signal (programming language) , white noise , wavelet , computer science , noise (video) , second generation wavelet transform , wavelet transform , acoustics , algorithm , mathematics , control theory (sociology) , artificial intelligence , physics , telecommunications , image (mathematics) , programming language , control (management)
Dynamical properties of mechanical systems can be obtained with the vibration signals from the systems. However, for the influence of noises, it is difficult to accurately acquire the features. Therefore, de-noising operation is significant for vibration signal in the practical engineering. In order to resolve this problem, discrete wavelet transform (DWT) with hard threshold is used to remove noises from vibration signal. We provide the principle of DWT at first. And then, a sample signal is constructed with white noise is processed by the technique. As the result shown, the random noise can be effectively eliminated. This reflects that the de-noising method based on DWT the hard threshold is effective.