Fault identification for the large-scale system using trend analysis

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.