基于Elman神经网络的油浸式电力变压器故障诊断

油浸式电力变压器的运行状态直接影响到电力系统的安全与稳定,对其进行故障诊断具有重要的现实意义。依据Elman神经网络具有动态处理数据及对历史数据敏感的能力,提出了将它用于油浸式电力变压器的故障诊断新方法,并给出了其具体的实现,同时对故障诊断的结果,将Elman网络与BP网络进行了比较。检测结果表明,Elman网络具有区别油浸式电力变压器不同故障类型的能力。

The fault diagnosis of the oil-filled power transformer based on Elman neural network

The operation state of oil-filled power transformer affects the safety and stability of power system, so it has actual value to diagnose the potential fault of transformer. Due to the Elman network having the ability of dynamic handing data and sensitive to history data, a new method was put forward to diagnose the oil-filled power transformer fault based on Elman neural network... Moreover, specific method on how to realize it was given. Furthermore, the different results were compared with BP neural network. The detected results show that Elman network has the ability to distinguish the different faults of the oil-filled power transformer.