首页|Reports from Pontifical University Highlight Recent Findings in Machine Learning (Application of Ensemble Machine Learning Techniques To the Diagnosis of the Co mbustion In a Gas Turbine)
Reports from Pontifical University Highlight Recent Findings in Machine Learning (Application of Ensemble Machine Learning Techniques To the Diagnosis of the Co mbustion In a Gas Turbine)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating from Madrid, Spain, by N ewsRx correspondents, research stated, “This paper describes amethod based on t he combination of several machine learning techniques, working together in an ensemble, with the aim of continuously monitoring the combustion of a gas turbine in a combined cycle byobserving the available exhaust gas temperature measureme nts and operation condition variables. Thegoal of this monitoring is the automa tic detection of anomalies in the combustion chambers, and possiblefaults in th e measurement thermocouples in the gas turbine as soon as possible.”
MadridSpainEuropeCyborgsEmerging TechnologiesMachine LearningPontifical University
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