Abstract
The work is dedicated to the development of an on-line monitoring and analysis system of cavitation in large Kaplan turbines (TrbMAU) in order to evaluate the cavitation degree in real time. Sound wave emitted by cavitation is continuously monitored, including audible sound and ultrasound. Considering the influence of the operating states of turbine-generator sets on cavitation, adaptive data acquisition (DAQ) and storage is proposed. The DAQ period and storage vary with operating states to capture all sound features in different operating states with less data redundancy. Based on the real-time evaluation of the signal characteristics, such as standard deviation, noise level, and frequency compositions, the tendency of cavitation intensity with time and different operating states has been traced out. Furthermore, the integrated cavitation intensity will be estimated periodically, which can figure out the degree of cavitation erosion approximately. And the research methodology and pivotal concerns are discussed on the evaluation of the metal loss caused by cavitation. The TrbMAU has been successfully put into service in Gezhouba Hydro Power Plant. Its performance has been proved to be very good.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
