Cavitation signal analysis using discrete wavelet transform

Currently various types of wavelet transform are widely used in analysis of signals of different type. Mainly wavelet transform widely used to separate different types of information contained in original signals. Wavelet transform can be used to extract the features even in different scales. These features are able to characterize signals in different resolutions. As a case study, the discrete wavelet transform approach to diagnose cavitation signal associated with centrifugal pump cavitation test rig has been considered. Mean value of coefficients as feature can be extracted from various decomposition levels, variations of mean value with cavitation states are observed.