首页|Findings from Polytechnic University Milan Broaden Understanding of Machine Learning (General Machine Learning-based Approach To Pulse Classification for Separation of Partial Discharges and Interference)
Findings from Polytechnic University Milan Broaden Understanding of Machine Learning (General Machine Learning-based Approach To Pulse Classification for Separation of Partial Discharges and Interference)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsreporting originating in Milan, Italy, by NewsRx journalists, research stated, “This article describes acomplete approach to filtering partial discharge (PD) pulses from interference in high voltage (HV) electricalequipment using supervised machine learning (ML) techniques. The PD signals are registered in ultra highfrequency (UHF) radiation band with a multisensor acquisition system composed of four antennae.”
MilanItalyEuropeCyborgsEmerging TechnologiesMachine LearningPolytechnic University Milan
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