Data Mining In Conditions Analysis At A Coal-Fired Utility Boiler

摘要：

The Supervisory Information System (SIS)lis widely installed in power plant of more than 300MW. Its massive data contains valuable information and resources which requires further excavation. In this paper a way of working conditions analysis based on cluster-based data mining algorithm is explored and experimented to SIS. The results illustrate that the way can identify and analyze the working conditions very well.

关键词： supervisory information system conditions analysis data mining cluster analysis

作者: LIU BaoLing

作者单位: Department of Electrical And Electronics Engineering, Nanchang Institute of Technology, Nanchang, China

会议类型: 国际会议

会议名称: 2010 6th International Conference on MENS NANO,and Smart System(2010年微机电纳米、智能系统国际会议 ICMENS 2010)

会议地点: 长沙

会议语种:英文

页码: 248-251

在线出版日期: 2010-12-14（万方平台首次上网日期，不代表论文的发表时间）