Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on ar tificial intelligence.According to news reporting out of Barcelona,Spain,by N ewsRx editors,research stated,"Nowadays,hydropower plants are being used to c ompensate for the variable power produced by the new fluctuating renewable energ y sources,such as wind and solar power,and to stabilise the grid." Our news correspondents obtained a quote from the research from Universitat Poli tecnica de Catalunya (UPC):"Consequently,hydraulic turbines are forced to work more often in off-design conditions,far from their best efficiency point.This new operation strategy increases the probability of erosive cavitation and of h ydraulic instabilities and pressure fluctuations that increase the risk of fatig ue damage and reduce the life expectancy of the units.To monitor erosive cavita tion and fatigue damage,acoustic emissions induced by very-high-frequency elast ic waves within the solid have been traditionally used.Therefore,acoustic emis sions are becoming an important tool for hydraulic turbine failure detection and troubleshooting.In particular,artificial intelligence is a promising signal a nalysis research hotspot,and it has a great potential in the condition monitori ng of hydraulic turbines using acoustic emissions as a key factor in the digital isation process.In this paper,a brief introduction of acoustic emissions and a description of their main applications are presented."
NETL
NSTL