sound and vibration signal analysis using improved short-time fourier representation

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ID: 135478
2013
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Abstract
Time-frequency imaging provides a straightforward means to understanding machinery conditions. The methods of short-time Fourier transform (STFT), Wigner-Ville distribution (WVD) and smooth-windowed Wigner-Ville distribution (SWWVD) are applied to the condition monitoring of rotating machines. The sound and vibration signals of a rotating fan are tested, and time-frequency images are illustrated in terms of STFT, WVD and SWWVD. The results show that the resolution of STFT is low, and the resolution of WVD is high but with interference. To overcome the interference in the WVD image, a variable smooth-windowed weighting function is applied. The smoothing window function resulted in interference attenuation but also in reducing the concentration. The SWWVD is a compromise between STFT and WVD. The SWWVD exhibits better resolution than STFT and has less interference than WVD.
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lee2013internationalsound Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;June-Yule Lee
Journal journal of marine science and engineering
Year 2013
DOI
DOI not found
URL
http://ijame.ump.edu.my/images/Volume_7/1_Lee.pdf
Keywords
Mechanical engineering and machinery time-frequency analysis sound and vibration

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