首页|New Findings from King Mongkut’s University of Technology Thonburi (KMUTT) in th e Area of Machine Learning Reported (A Machine Learning Perspective for Vibratio n Sensing and Identification of Modal Parameters of Electromechanical Equipment …)
New Findings from King Mongkut’s University of Technology Thonburi (KMUTT) in th e Area of Machine Learning Reported (A Machine Learning Perspective for Vibratio n Sensing and Identification of Modal Parameters of Electromechanical Equipment …)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting out of Bangkok, Thailand, b y NewsRx editors, research stated, “Vibrations in electromechanicalmachines pos e a risk of performance deterioration and mechanical failures, stressing the nee d for preciseall-weather vibration detection and identification of modal parame ters for predictive and proactive maintenance.Using an experimental approach, a dataset of interferograms is generated from an optical sensorwith labeled vibr ation amplitudes corresponding to frequencies ranging from 50 Hz to 250 Hz throu ghvoltages of 10 V and 15 V, respectively.”
BangkokThailandAsiaCyborgsEmergi ng TechnologiesMachine LearningKing Mongkut’s University of Technology Thonburi (KMUTT)
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