Abstract
Cavitation and vibration are complicated and critical characteristics in pumps, which has a negative influence on the reliability and stability of nuclear power plant systems. In this paper, a synchronous experimental system including a high-speed camera and sensors is established to investigate the characteristics of blade tip leakage vortex (TLV) cavitation, cavitation-induced pressure fluctuation, and vibration. The results show that the formation of the TLV cavitation cloud significantly deteriorated the pump's performance, changed the pressure distribution, and increased the pressure fluctuation and vibration. Based on the Hilbert-Huang transformation (HHT) method, transient and non-stationary vibration signals are decomposed into Intrinsic Mode Functions (IMFs) by Empirical Mode Decomposition (EMD). The RMS values of first-order IMF in vibration signals increase rapidly as the TLV cavitation cloud develops. The properties extracted from the Hilbert marginal spectrum can be used to detect the pump's cavitation development stages.
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