A threshold research for de-noising operation to the vibration signals based on wavelet package. (October 2019)

• Record Type: Journal Article
• Authors: Mi, Wenpeng; Dong, Weiwei; Li, Liang; Kong, Lingjian; Sun, Yanglin; Chen, Chao
• Is Part Of: IOP conference series. Volume 612:issue 3(2019)
• Publication Date: 2019-10
• Subjects: Materials science -- Periodicals; 620.1105
• DOI: 10.1088/1757-899X/612/3/032037
• Languages: English
• ISSNs: 1757-8981

Abstract

Abstract: 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.