Fault diagnosis of water hydraulic motor by Hilbert transform and adaptive spectrogram

Abstract

This paper studied the fault diagnosis of fluid machines by the analysis of the periodic impulse vibration signal. The method is based on Hilbert transform and adaptive wavelet analysis. We apply the Hilbert transform to present the characteristic envelope of the periodic impulsive signal to show the fundamental frequencies. The Gaussian functions are optimized to get the optimal parameters to show the characteristic frequencies of the Hilbert transform-based envelope of the vibration signals. The simulated signal and experimental signal are used to test the method. The results show it is applicable and effective to fault diagnosis of fluid machines by analyzing the periodic impulsive signal.