摘要
变压器是电力系统中的枢纽设备之一,其运行情况将直接影响电力系统的安全运行。传统的变压器故障诊断方法不仅判断变压器中存在的故障的准确率低,而且对综合性故障也无法准确判断。应用E lm an神经网络进行变压器故障诊断,极大的提高了诊断准确率,提高电力系统运行可靠性。
Transformer is one of the essential equipments in power system,and its operation state can affect the safety of power system directly.Ordinary transformer fault diagnosis method can determine the faults of transformer,but its accuracy is low.Besides,it can't determine comprehensive faults correctly.The application of Elman neural network in fault diagnosis greatly improved diagnostic accuracy and reliability.
出处
《承德石油高等专科学校学报》
CAS
2010年第4期45-47,58,共4页
Journal of Chengde Petroleum College