The Study of Fault Diagnosis of Condenser Based on the Consensus Information Fusion

摘要：

In order to enhance the accuracy rate of the fault diagnosis of condenser, a fault diagnosis method based on consensus information fusion is presented. The decision-making distance is calculated and the closest supporting group is found. By integrating the results of the closest supporting group, the best decision-making value of fault diagnosis is obtained. This method is applied in the simulation experiment of condenser fault diagnosis in this paper. The experimental results show that the consensus information fusion method is able to improve the reliability of the fault diagnosis and reduce erratic elements evidently.

关键词： consensus information fusion condenser fault diagnosis

作者: Yang Li Zhang Hao Xia Fei Peng Daogang

作者单位: Shanghai University of Electric Power Shanghai,China

会议类型: 国际会议

会议名称: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems(2009 IEEE 智能计算与智能系统国际会议)

会议地点: 上海

会议语种:英文

页码: 2413-2417

在线出版日期: 2009-11-20（万方平台首次上网日期，不代表论文的发表时间）