Feature Extraction of Acoustic Emission Signals for Rotor Fault Based on Daubechies Wavelet Analysis

Yang Yu; Ping Yang; Li Jian Yang

doi:10.4028/www.scientific.net/AMR.424-425.290

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 424-425Feature Extraction of Acoustic Emission Signals...

Feature Extraction of Acoustic Emission Signals for Rotor Fault Based on Daubechies Wavelet Analysis

Abstract:

The failure of rotating machine is often occurred by the rotor rubbing and the acoustic emission will be created by the rotor rubbing. The acoustic emission (AE) signal is the transient and non-stationary signal. Wavelet Transform has outstanding advantage revealing the character of this signal in time-frequency. With the increasing of the rotor speed, the noise increases a lot and the wavelet coefficients of AE signal change to high-scale. The db10 was applied in AE signal processing, and the modulus maxima method was applied to reconstruct of the signal. The result shows that the AE signal of rotor rubbing could be separated from noise by Daubechies Wavelet

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Periodical:

Advanced Materials Research (Volumes 424-425)

Pages:

290-294

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.424-425.290

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Online since:

January 2012

Authors:

Yang Yu, Ping Yang, Li Jian Yang

Keywords:

Acoustic Emission (AE), Daubechies Wavelet, Rotor Fault Diagnosis

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References

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