机译:基于改进的SVDD的未知局部放电的模式识别
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, People's Republic of China;
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, People's Republic of China;
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, People's Republic of China;
data description; electrical engineering computing; learning (artificial intelligence); partial discharges; pattern classification; pattern clustering; pattern recognition; support vector machines;
机译:基于基于变量预测模型的类别判别和偏最小二乘回归的局部放电模式识别方法
机译:通过面向图像的特征提取和选择技术提高局部放电图形的识别精度
机译:通过分析SF6分解产物进行局部放电识别第2部分:基于特征提取和基于决策树的模式识别
机译:基于改进粒子群算法的局部放电故障模式识别
机译:脉冲电压激励下电机线圈局部放电的检测与模式识别
机译:色法在气体绝缘开关柜中进行UHF信号处理和局部放电的模式识别
机译:用于局部放电的UHF信号模式识别的改进袋装算法