Fault Detection Based on Data Mining Theory

In this paper, we adopt a novel applied approach to fault detection based on data mining theory. In our researches, global information will be introduced into the electric power system, we are using mainly cluster analysis technology of data mining theory to resolve fast and exact discrimination of faulty components and faulty sections, and finally accomplish fault detection in electric power systems. Data mining theory is defined as the process of automatically extracting valid, novel, potentially useful and ultimately comprehensive information from large databases. It has been widely utilized in both academic and applied scientific researches in which the data sets are generated by experiments. Data mining theory will contribute a lot in the study of fault detection.