The Wavelet De-Noising of Vibration Signals for Aircraft Rolling Bearings

Abstract:

Aiming at air rolling bearing vibration signals low SNR and nonstationary characteristics, taking wavelet theory and principles of the wavelet noise reduction for air vibration signals of rolling bearings to conduct wavelet noise reduction processing.By means of the simulation signal wavelet noise reduction processing and fast Fourier transform, the contrast analysis of the vibration signals after wavelet noise reduction and FFT transform and the original signal directly to the result of the fast Fourier transform, and thus prove the validity of the vibration signal wavelet noise reduction. Through the actual vibration signals of bearing conductnoise reduction processing, the result is a further indication of the superiority of wavelet noise reduction in eliminate noise interference.

• Periodical: Advanced Materials Research (Volumes 912-914)
• Pages: 873-877
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.912-914.873
• Online since: April 2014
• Authors: Feng Kui Cui*, Fei Fei Lv, Xiao Qiang Wang, Dong Ying Zhang
• Keywords: De-Noising, Rolling Bearings, Vibration Signal, Wavelet Theory

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