Research on fault diagnosis for power transmission based on MASs data mining

摘要：

　　A Multi-Agent based transmission fault diagnosis system is researched in this paper.Many data digging analysis methods are employed,combined with data warehouse,OLAP and Multi-Agent technology.An intelligent decision supporting system for monitoring transmission network data is built.Data digging method is used to intelligently analyze and process fault data in the data warehouse,and Agent technology is used to realize data collection,pretreatment,inquiry,knowledge Automatic extraction,mining and other functions,which makes the whole mining process intellectual and intelligent.It aids transmission management with decision-making,thus to make the monitoring and repair of power grid fault more timely and accurate.

关键词： MAS Data mining Knowledge Discovery in Database Fault diagnosis system

作者: Sun Xiao-yan Li Long Liu Ping-ping

作者单位: School of Computer Science and Engineering, Xian Technological University,Xian, Shanxi, 710032, China

会议类型: 国际会议

会议名称: 3rd International Conference on Frontiers of Manufacturing and Design Science(第三届制造与设计科学前沿国际会议(ICFMD))

会议地点: 香港

会议语种:英文

页码: 1623-1627

在线出版日期: 2012-12-11（万方平台首次上网日期，不代表论文的发表时间）