Abstract
The utilization of vibration signals to diagnose faults in centrifugal pumps is a crucial research direction in this field. Traditional frequency domain processing methods, such as Fast Fourier Transform (FFT), may not be effective in analyzing complex signals where multiple types of faults occur simultaneously at the same frequency. This paper proposes the use of wavelet packet analysis as an alternative. By analyzing fault conditions caused by blade damage and clearance wear in a mud pump and comparing the results to those obtained through the FFT analysis method, the superior accuracy of wavelet packet analysis is demonstrated.
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