Application of BP Network Based on Free-Weighting on Transformer Fault Diagnosis

摘要：

Applications of traditional back-propagation (BP) network and improved BP network on transformer fault diagnosis have outstanding effects and broad implementations. And the accuracy rate has reached 85％. However, BP network has disadvantages of local minimum and slow convergence speed. Improved methods can not fundamentally solve those disadvantages. BP network based on free-weighting can fundamentally solve these shortcomings. New algorithm which has been applied on transformer fault diagnosis has been proved that it could improve the accuracy rate. The accuracy rate has reached at the percentage of ninety five. It has a very good and wide application prospect in the power grid.

关键词： DGA BP network transformer fault diagnosis free-weighting characteristic gas

作者: Ling Zheng Wei Liu Liuchun Lu

作者单位: School of Control and Computer Engineering, North China Electric Power University Beijing, China

会议类型: 国际会议

会议名称: 2011 6th Joint International Information Technology and Artificial Intelligence Conference(2011年第六届IEEE联合国际信息技术与人工智能会议 IEEE ITAIC 2011)

会议地点: 重庆

会议语种:英文

页码: 732-735

在线出版日期: 2011-08-20（万方平台首次上网日期，不代表论文的发表时间）