首页|Study Data from Zhengzhou University Update Knowledge of Support Vector Machines (Iot-enabled Fault Prediction and Maintenance for Smart Charging Piles)
Study Data from Zhengzhou University Update Knowledge of Support Vector Machines (Iot-enabled Fault Prediction and Maintenance for Smart Charging Piles)
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 – A new study on Machine Learning - Supp ort Vector Machines is now available.According to news originating from Zhengzh ou, People’s Republic of China, by NewsRx correspondents,research stated, “With the application of the Internet of Things (IoT), smart charging piles, which ar eimportant facilities for new energy electric vehicles (NEVs), have become an i mportant part of the smartgrid. Since the smart charging piles are generally de ployed in complex environments and prone to failure,it is significant to perfor m efficient fault diagnosis and timely maintenance for them.”
ZhengzhouPeople’s Republic of ChinaA siaMachine LearningSupport Vector MachinesZhengzhou University