论文部分内容阅读
介绍了一种利用人工神经网络（ＡＮＮ） 实现变电站故障诊断的方法，该方法充分利用人工神经网络所具有的强大的学习能力及高度的容错性等特点，实现对变电站故障元件的诊断．仿真结果表明，该方法不仅能准确地诊断出保护、开关正确动作时的故障元件，也可有效地诊断出因保护或开关拒动的越级故障时的故障元件．
A method of substation fault diagnosis using artificial neural network (ANN) is introduced. This method makes full use of the powerful learning ability and high fault tolerance of artificial neural network to realize the fault diagnosis of substation. The simulation results show that this method can not only diagnose the fault and protect the components correctly, but also can effectively diagnose the fault components when the protection or switch is off.