机译:一种基于状态导向电力变压器校正的新型自决性故障诊断模型
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources Beijing Key Laboratory of High Voltage and EMC North China Electric Power University Beijing China;
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources Beijing Key Laboratory of High Voltage and EMC North China Electric Power University Beijing China;
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources Beijing Key Laboratory of High Voltage and EMC North China Electric Power University Beijing China;
State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources Beijing Key Laboratory of High Voltage and EMC North China Electric Power University Beijing China;
Guangzhou Power Supply Co. Ltd. Guangzhou China;
Fujian Electric Power Co. Ltd. of State Grid of China Fuzhou China;
Training; Adaptation models; Neurons; Transformer cores; Numerical models; Power transformer insulation; Load modeling;
机译:基于改进的关联向量机的电力变压器故障诊断建模分析。
机译:基于改进的关联向量机的电力变压器故障诊断建模分析。
机译:基于主成分分析的极限学习机电力变压器故障诊断模型中最相关输入参数的选择
机译:基于灰色关联模型诊断的电力变压器故障诊断
机译:人工智能在变压器早期故障诊断中的应用。
机译:基于三级GA–SA–SVM OFC选择和ABC–SVM分类器的电力变压器聚合物绝缘故障诊断系统
机译:基于改进相关向量机的电力变压器故障诊断建模分析