Vibration fault diagnosis of turbine based on wavelet analysis

Abstract

Abstract: Fault diagnosis of turbogenerator was investigated based on wavelet transform. The theories of Fourier transform and wavelet analysis were introduced. The advantages of wavelet transform in locating of vibration signal composition were discussed comparing with the Fourier analysis and verified by simulation signal. By using db7 wavelet, the signal was be resolved into 6 layers, and the accurate position of discontinuity was appeared clearly in the detail of resolved signal. The analysis result shows that if the characteristics of turbine vibration fault signal are clearly known, then the wavelet analysis can be used effectively in turbine fault diagnosis.

Key words: vibration, fault diagnosis, wavelet transform, signal processing, turbo-generator

HOU Naiming;DING Changfu. Vibration fault diagnosis of turbine based on wavelet analysis[J]. Huadian Technology, 2009, 31(11): 1-2.

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Vibration fault diagnosis of turbine based on wavelet analysis

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