The laser-induced cavitation bubble collapse noise spectrum in the liquid are studied experimentally by using a piezoelectric transducer (PTZ) hydrophone. Experimental methods and a cavitation detection system are designed to investigate bubble collapse noise. The wavelet transformation, fast Fourier transform (FFT) and other signal analysis methods are used to monitor the cavitation noise and reduce wavelet noise, analyze power spectrum. The result shows that application of wavelet denoising in cavitation bubble collapse noise spectrum analysis is an effective method. In addition, the designed software can quickly analyze the spectral characteristics of bubble noise signal, and it can detect and monitor cavitation on-line. The results have certain significance on the warning and researching of turbine cavitation, propeller cavitation and other water conservancy machineries.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.