【摘要】 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．更多还原

【Abstract】 A method of fault diagnosis for substation based on artificial neural network is introduced in the paper.It takes advantage of the powerful robustness and learning ability of artificial neural network to diagnose the faulty component in the substation.The simulation results show that the method can exactly diagnose the faulty component when the protection and switch act correctly,as well as when the protection and switch refuse to act.更多还原