首页|New Machine Learning Findings from School of Electrical and Electronic Engineeri ng Discussed (Modified Dual Ekf With Machine Learning Model for Fouling Predicti on of Industrial Heat Exchanger)
New Machine Learning Findings from School of Electrical and Electronic Engineeri ng Discussed (Modified Dual Ekf With Machine Learning Model for Fouling Predicti on of Industrial Heat Exchanger)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning is now available. According to news reporting out of Tamil Nadu, India, by NewsRx edit ors, research stated, “Accurate and online prediction of heat exchanger (HE) fou ling is one of the primary requirements for precise control, predictive maintena nce, and operational continuity. As fouling tends to alter the HE dynamics, a du al extended Kalman filter (DEKF) becomes the ideal technique to predict fouling along with the HE states concurrently.”
Tamil NaduIndiaAsiaCyborgsEmerging TechnologiesMachine LearningSchool of Electrical and Electronic Engineering
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