摘要
利用BP神经网络区分了牵引变压器的励磁涌流和故障电流,并利用仿真数据和试验变压器录波样本对神经网络性能进行了测试。
The traction transformer magnetizing inrush currents and fault currents are discriminated by BP neural network. The properties of the neural network are tested by the simulation data and the wave recording samples of the test transformer.
出处
《变压器》
北大核心
2009年第1期32-36,共5页
Transformer
关键词
单相牵引变压器
励磁涌流
神经网络
Single-phase traction transformer
Magnetizing inrush current
Neural network
