2010Mechanical Engineering & AutomationRequires access

Application of Wavelet Analysis in Vibration Signal Denoising

Guorong Zhou

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Abstract

The vibration signal of rotating machinery is the important information for monitoring and diagnosing the running status of machinery.But the sampling signals are inevitably influenced by noise.In this article,wavelet analysis was applied to the vibration signal denoising.Based on characteristic analysis of noise signal,the one-dimensional wavelet was used to denoise the vibration signal.And the advantage of the wavelet denoising was demonstrated by simulation with MATLAB.Some practical experiences about wavelet denoising were summarized at last.

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What this paper is about

The vibration signal of rotating machinery is the important information for monitoring and diagnosing the running status of machinery.But the sampling signals are inevitably influenced by noise.In this article,wavelet analysis was applied to the vibration signal denoising.Based on characteristic analysis of noise signal,the one-dimensional wavelet was used to denoise the vibration signal.And the advantage of the wavelet denoising was demonstrated by simulation with MATLAB.Some practical experiences about wavelet denoising were summarized at last.

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Available abstract

The vibration signal of rotating machinery is the important information for monitoring and diagnosing the running status of machinery.But the sampling signals are inevitably influenced by noise.In this article,wavelet analysis was applied to the vibration signal denoising.Based on characteristic analysis of noise signal,the one-dimensional wavelet was used to denoise the vibration signal.And the advantage of the wavelet denoising was demonstrated by simulation with MATLAB.Some practical experiences about wavelet denoising were summarized at last.

Key concepts: Wavelet, Noise reduction, SIGNAL (programming language), Vibration, Noise (video), Computer science, MATLAB, Wavelet transform

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