首页|University of Pretoria Reports Findings in Machine Learning (Discernment of transformer oil stray gassing anomalies using machine learning classification techniques)
University of Pretoria Reports Findings in Machine Learning (Discernment of transformer oil stray gassing anomalies using machine learning classification techniques)
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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 Pretoria, South Africa, by NewsRx journalists, research stated, “This work examinesthe application of machine learning (ML) algorithms to evaluate dissolved gas analysis (DGA) data toquickly identify incipient faults in oil-immersed transformers (OITs). Transformers are pivotal equipmentin the transmission and distribution of electrical power.”
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