Vibration Signal Preprocessing of Hydraulic Generator Set Based on the Second Generation Wavelet
Pengcheng Guo · Proceedings of the CSEE · 2007
As the de-noise result of traditional wavelet is related the wavelet basis function,the fault diagnosis would be difficulty while the wavelet basis function isn’t suitable for the vibrant signal. In the second generation wavelet transform (SGWT),wavelet basis function with some special characteristic can be obtained by means of designing prediction and update coefficient. SGWT based on the lifting scheme in de-noising vibrant signal processing of hydraulic generator set was proposed. Through analyzing the principle of lifting scheme,it is fetched out that it de-composes the vibrant signal at the different resolution,and process the detail coefficient of wavelet transform by threshold of limiting range. The processed detail coefficient and the approximate coefficient are used to construct the vibrant signal. The simulation result shows that the second generation wavelet transform is more excellent,contrasted with the traditional wavelet transform,and it has a wide foreground.