Application of Neural network model in insulating oil Fault Diagnosis

摘要：

This paper introduced the practical value of artificial neural network in fault diagnosis field, respectively, applied the BP network, ELMAN network, RB F neural networks insulating oil fault diagnosis. Simulation results show that, in the transformer fault diagnosis , the results of using RBF neural network diagnostic were significantly better than the results of traditional BP network and the results of ELMAN network, furthermore, the training time is short, and response fast.

关键词： Neural networks fault diagnosis BP network ELMAN network RBF neural network

作者: Liu yuequn Fu huilin Zhou yucai

作者单位: Changsha Electric Power Vocational Technological College, ChangSha 410131 College of energy and power Engineering, Chang sha science and engineering University, Chang sha 410

会议类型: 国际会议

会议名称: 2010 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2010)(2010年检测技术与机电自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 647-651

在线出版日期: 2010-03-13（万方平台首次上网日期，不代表论文的发表时间）