Findings from Federal University Pernambuco Yields New Data on Machine Learning (Fault Detection Framework In Wind Turbine Pitch Systems Using Machine Learning: Development, Validation, and Results)
Findings from Federal University Pernambuco Yields New Data on Machine Learning (Fault Detection Framework In Wind Turbine Pitch Systems Using Machine Learning: Development, Validation, and Results)
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting from Recife, Brazil, by NewsR x journalists, research stated, “This work develops a methodologyfor detecting faults in wind turbines through supervised machine-learning classification metho ds focusingin two modes of operation. The Normal mode will be related to the re gular operation of the wind turbinesand in the case of the abnormal mode, the s ystem will be cataloged as Pitch system failure.”
Key words
Recife/Brazil/South America/Cyborgs/Emerging Technologies/K-nearest Neighbor/Linear Discriminant Analysis/Machine Learning/Federal University Pernambuco
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