Application of wavelet-based denoising using a new adaptive thresholding function to vibration signals
Tang Jinyuan Chen Weitao Chen Siyu Zhou Wei
Key Laboratory of Modern Complex Equipment Design and Extreme Manufacturing(Central South University), Ministry of Education,School of Mechanical and Electrical Engineering, Central South University, Changsha Hunan, 410083, China
Abstract:A new adaptive thresholding function used to denoise signals is studied. The construction of the new thresholding function is illustrated in detail, and the advantages and handicaps of the new method comparing with the hard and soft thresholding function is given. The measurement system based on visual instrument LabVIEW and Matlab used to acquire and analysis the vibration signals of gear case is built. The experimental results shows that the denoising method using the new adaptive thresholding function is valid, which can obtain the main characteristic of original signals and has superior features over conventional methods, possess certain practical value.