Multiple ANNs Combined Scheme for Fault Diagnosis of Power Transformers

摘要：

It is very important to find the incipient faults of power transformers for keeping away from the further deterioration in modern power system. For enhancing the accuracy of fault diagnosis for power transformers, a multiple ANNs scheme is proposed in this paper. In this scheme, a novel ANN method ELM is used to establish the base classifier for its good performance and fast learning speed. Secondly, the several base classifiers based on single ELM will be combined by consulting ensemble techniques. And then a multiple ELMs method is obtained. The real gas records data from a power company is used to establish fault diagnosis system for power transformers based on the new multiple ELMs method. For comparison, the conventional method and other ANN method are used to build fault diagnosis models by the same data. The experiments demonstrate the new multiple ELMs method has the best performance in both learning ability aspect and generalization ability aspect for fault diagnosis of power transformers.

关键词： Fault diagnosis ELM power transforers ensemble technique

作者: Huixin Tian Kun Li Bo Meng

作者单位: Electrical Engineering and Automation Department, Tianjin Polytechnic University, Tianjin, China Management Department, Tianjin Polytechnic University, Tianjin, China

会议类型: 国际会议

会议名称: 2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)

会议地点: 四川绵阳

会议语种:英文

页码: 2562-2565

在线出版日期: 2011-05-23（万方平台首次上网日期，不代表论文的发表时间）