摘要
<正>
Large coal power transformer fault accident rate has increased and it results in substantial economic losses,to solve this problem, on the basis of in-depth study of gray theory and BP neural network forecasting, propose a new transformer fault prediction method for the combination of the above,the prediction is called BP-GM( 1,1 ).This method is suitable for early fault detection transformer,and it can greatly improve accuracy and have high practical value.
作者
周立人
公政
陈伟
侯林源
公茂法
无
Zhou Li-ren,Gong Zheng,Chen Wei,Hou Lin-yuan,Gong Mao-fa(1.College of Information and Electrical Engineering, Shandong University of Science and Technology, Shand~mg Qingdao 266510;2.State Grid Shandang Weifang Electric Power Company. Shandong Weifang 261000 )
出处
《电子质量》
2015年第4期58-62,共5页
Electronics Quality
基金
基金项目:山东省自然科学基金(ZR2012EEM021)