Fault Identification for the Large-scale System Using Trend Analysis

摘要：

　　Fault identification for large-scale system differs from fault identification for the respective device,which is more complicated with higher real-time requirements.While trend analysis is a simple,rapid and widely applied trend modeling method,it is one of good solutions.In this paper,we summarize achievements on the methods of trend extraction and similarity measure for trends matching.We suggest a framework of fault identification for the large-scale system using trend analysis,and the development of an optimal and robust faults-base for the large-scale system is also interpreted.

关键词： fault identification large-scale system trend analysis faults-base

作者: GU Xiaodan DENG Fang CHEN Jie

作者单位: School of Automation,Beijing Institute of Technology,Beijing 100081,China;Department of Information School of Automation,Beijing Institute of Technology,Beijing 100081,China

会议类型: 国际会议

会议名称: The 33th Chinese Control Conference第33届中国控制会议

会议地点: 南京

会议语种:英文

页码: 3301-3306

在线出版日期: 2014-07-28（万方平台首次上网日期，不代表论文的发表时间）