Turbine Generator Fault Diagnosis Based on Time Domain Average Laplace Wavelet

Xue Ping Ren; Jin Lei Wang

doi:10.4028/www.scientific.net/AMM.220-223.701

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 220-223Turbine Generator Fault Diagnosis Based on Time...

Turbine Generator Fault Diagnosis Based on Time Domain Average Laplace Wavelet

Abstract:

In view of turbine generator vibration abnormal,introduces fault diagnosis method based on time domain average Laplace wavelet analysis, and successfully applied to the site. Briefly introduced the time domain average and Laplace wavelet filter theory and algorithms, first use time domain average extract the cycle signal component from complex signal.then use Laplace wavelet correlation filtering to get correlation coefficient, then get characteristic frequency from the correlation coefficient of Fourier transform in order to achieve fault diagnosis. Finally it verified the effectiveness of this method through an instance of the fault diagnosis of turbine generator bearings not verify.

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Periodical:

Applied Mechanics and Materials (Volumes 220-223)

Pages:

701-704

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.220-223.701

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Online since:

November 2012

Authors:

Xue Ping Ren, Jin Lei Wang

Keywords:

Laplace Wavelet, Time Domain Average, Turbine Generator

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References

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