根据自适应单相重合闸的电压判据在判别瞬时性故障与永久性故障时存在的缺陷 ,提出了智能型自适应单相重合闸方案 ,将人工神经网络用于其中 ,建立了一个 3层前向网络模型。利用EMTP及 MATLAB进行了大量的仿真实验 ,验证了其无论在长线路还是短线路的故障区分中都具有良好的可行性 ,克服了传统判据的缺陷。同时还提出了基于模糊神经网络的自适应单相重合闸方案 ,作为下一步的研究方向 According to the voltage criterion of adaptive single-phase reclosing, in order to judge the shortcomings of instantaneous fault and permanent fault, an intelligent adaptive single-phase reclosing scheme is proposed, in which artificial neural network is used and a 3-layer Forward network model. A large number of simulation experiments are carried out by using EMTP and MATLAB, and it is verified that both of them have good feasibility in fault classification of long lines or short lines and overcome the defects of traditional criteria. At the same time, an adaptive single-phase reclosing scheme based on fuzzy neural network is also proposed as the next research direction