Title :
A Situation Assessment Model and Its Application Based on Data Mining
Author :
Shouzhi Wei ; Ningde Jin ; Xingjie Hui ; Hui Liu
Author_Institution :
Dept. of Comput. Eng., Northestern Univ., Qinhuangdao
Abstract :
In order to solve effectively the issue of situation assessment of hydroelectric generating units in Jinlin FengMan hydropower plant in China, a general situation assessment model based on data mining is proposed, that is, gathering multi-source data, obtaining knowledge automatically using modified rough set algorithm, and the general situation assessment being realized by utilizing the modified blackboard model in dynamic circumstance. The model has been successfully applied in situation assessment of hydroelectricity digital simulation system of Jilin Fengman. Tests on system show that the proposed model are effective and can be applied widely. This model has solved high complexity, redundancy of rule, and lowered generality of former system
Keywords :
data mining; digital simulation; hydroelectric power stations; power system simulation; rough set theory; China; Jinlin FengMan hydropower plant; data mining; digital simulation system; hydroelectric generating units; modified blackboard model; modified rough set algorithm; multisource data gathering; situation assessment; Application software; Appraisal; Data engineering; Data mining; Digital simulation; Hydroelectric power generation; Protection; Sensor fusion; Sensor phenomena and characterization; Sensor systems; FengMan hydroelectricity digital simulation system; Information; blackboard model; bus protection; rough set; situation assessment;
Conference_Titel :
Information Fusion, 2006 9th International Conference on
Conference_Location :
Florence
Print_ISBN :
1-4244-0953-5
Electronic_ISBN :
0-9721844-6-5
DOI :
10.1109/ICIF.2006.301732
