基于遗传算法的ENN的变压器故障诊断

Research on Transformer Fault Diagnosis Based on Genetic Algorithm of ENN

可拓神经网络结合了可拓学理论和人工神经网络技术。针对变压器故障诊断的特点,提出一种基于遗传算法和可拓神经网络的电力变压器故障诊断方法。介绍了双权可拓神经网络的结构;构造了基于遗传算法和可拓神经网络的故障诊断模型和算法设计,并将其应用到电力变压器的诊断识别;通过仿真实验验证了该方法简单易行、训练误差小、收敛时间快等优点。

For the characteristics of transformer fault diagnosis, this paper puts forward a method based on genetic algorithm and extension neural network power transformer fault diagnosis methods. This paper introduces the double right extension neural network structure;and structure based on genetic algorithm and extension neural network fault diagnosis model and algorithm design, and its application to the diagnosis of power transformer identification; Through the simulation experiment shows the method is simple, training error is small, fast convergence time etc.