机译:基于隶属度函数的电力物联网设备红外图像识别质量的模糊增强算法研究
North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China|North China Elect Power Univ, Beijing Key Lab New Energy & Low Carbon Dev, Beijing 102206, Peoples R China;
North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China;
China Acad Elect Power Sci Co Ltd, Beijing 100192, Peoples R China;
North China Elect Power Univ, Sch Econ & Management, Beijing 102206, Peoples R China;
Natl Elect Power Dispatching & Control Ctr, Beijing 100031, Peoples R China;
Sichuan Elect Power Co, Chengdu 610041, Peoples R China;
Power internet of things; Image recognition quality; Membership function; Image enhancement; Quality model;
机译:基于隶属函数的企图电源互联网识别质量模糊增强算法研究
机译:基于类型1和-2的基于模糊逻辑控制器的并联有源滤波器Id-Iq控制策略,具有不同的模糊隶属函数,可使用RTDS硬件提高电能质量
机译:基于直觉的内核模糊C型C型聚类算法,具有电力设备图像分割的本地信息
机译:基于隶属度变换算法的车辆装备维修质量模糊综合评价
机译:用于基于模型的目标识别的匹配算法和特征匹配质量度量,以及在自动目标识别中的应用。
机译:基于压缩传感理论的电力设备红外图像盲超分辨率技术研究
机译:基于直觉的内核模糊C型C型聚类算法,具有电力设备图像分割的本地信息