首页|New Findings on Machine Learning Described by Investigators at Wuhan University (Vibration-signal-based Deep Noisy Filtering Model for Online Transformer Diagno sis)
New Findings on Machine Learning Described by Investigators at Wuhan University (Vibration-signal-based Deep Noisy Filtering Model for Online Transformer Diagno sis)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
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 from Wuhan, People’s Republ ic of China, by NewsRx journalists, research stated, “Machinelearning methods a re effective for the diagnosis of power transformer faults. However, influenced byuncertainty and noise in data, machine-learning-based diagnostic methods are still in the initial phase ofcertain assets in power systems.”
WuhanPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningWuhan University