【摘要】 在分析了小波函数时频特性和人工神经网络学习能力和算法鲁棒性的基础上,提出了一个利用小波神经网络检测电力系统输电线路故障的方法.理论分析和基于EMTP仿真测试结果表明,该小波神经网络故障检测模型和算法是有效的,与传统的人工神经网络相比,具有收敛速度快,鲁棒性强的特点.更多还原

【Abstract】 Based on the analysis of the time frequency character of wavelet function and the learning capability and algorithm robustness of the artificial neural network (ANN),a method for the fault detection of transmission line in an electrical system is presented in terms of wavelet neural network(WNN).The theoretical analysis and results of the electrical magnetic transient program(EMTP)simulation show that the model and algorithm of the WNN fault detection are effective and superior to those of conventional ANN fault detection in its quick convergence and good generality.更多还原