Data Mining in Conditions Analysis at a Coal-Fired Utility Boiler

The Supervisory Information System (SIS) is widely installed in power plant of more than 300 MW. 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.