Investigators at Lulea University of Technology Report Findings in Machine Learn ing (Real-time In-situ Coatings Corrosion Monitoring Using Machine Learning-enha nced Triboelectric Nanogenerator)
Investigators at Lulea University of Technology Report Findings in Machine Learn ing (Real-time In-situ Coatings Corrosion Monitoring Using Machine Learning-enha nced Triboelectric Nanogenerator)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According tonews originating from Lulea, Sweden, by Ne wsRx correspondents, research stated, “Current methods formonitoring coating co rrosion are limited by their inability to provide real-time data and dependence onexternal power sources. This study presents a novel in-situ corrosion monitor ing system using a solid-liquidtriboelectric nanogenerator (TENG) that converts mechanical energy into electrical signals for selfpoweredsensing.”
Key words
Lulea/Sweden/Europe/Cyborgs/Emerging Technologies/Machine Learning/Lulea University of Technology
NETL
NSTL