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《Computer Simulation》 2010-08
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Application of Multi-wavelet in Vibration Signal Denoising

MA Jian-cang,MENG Fan-lu (College of Electronic Information,Northwestern Polytechnic University,Xi'an Shanxi 710129,China)  
As engine is a complex system of mechanical power,in order to determine the status of its fault diagnosis by the vibration signal,vibration signal must be pre-processed by denoising.Traditional wavelet denoising generally select a single wavelet,due to multiwavelet has orthogonality,compact support,high-order vanishing moments and symmetry at the same time,which has more advantages than a single wavelet.This paper by using GHM multiwavelet in signal denoising,discussed two kinds of preprocessing methods.Compared with db4 single wavelet,the result shows that multiwavelet is better in soft threshold denoising.Finally multiwavelet was used in aircraft engine vibration signal denoising and achieved good result.It provides a viable method of signal processing for the engine condition monitoring and fault diagnosis.
【Fund】: 国家自然科学基金(60672184)
【CateGory Index】: TN911.4
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