Research on de-noising operation to the vibration signals based on discrete wavelet transform with hard threshold. Issue 3 (March 2020)

• Record Type: Journal Article
• Authors: Mi, Wenpeng; Xu, Weichang; Jiang, Cunqun; Zhu, Guifang; Wang, Hongguang; Liu, Pengpeng; Kong, Xiangtong
• Is Part Of: IOP conference series. Volume 782:Issue 3(2020)
• Publication Date: 2020-03
• Subjects: vibration de-noising -- wavelet transform -- random noise -- hard threshold; Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/782/3/032004
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: 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.