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In this paper, a new method based on wavelet analysis for feature extraction of gearbox vibration signals is explored. The similarity of the power spectrums between gearbox vibration signals and 1/f processes signals makes natural the use of wavelet-based fractal analysis for gearbox fault diagnosis. Then the principle of this method was discussed. To verify the feasibility and practicability of this...
In this paper, we attempted to classify the acceleration signals of different working states of bearings by using the wavelet-based fractal analysis. Considering the similarity of the power spectrums between bearing vibration signals and 1/f processes signals, the principles of wavelet-based fractal analysis for bearing fault diagnosis are explored. To verify the feasibility and practicability of...
The success of health monitoring and condition assessment for power transformer with vibration analysis lies on proper extraction of vibration features. The extraction of features in turn depends on appropriate signal processing methods. In this paper, a WPT and HHT based time-scale-frequency analysis is developed to extract the vibration features from power transformer tank. In this method, the WPT...
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