The Modeling of the Power Equipment Condition Diagnostic System Based on Data Mining
ZHU Fu-bao
HUO Xiao-qi
XU Xian-jing
Abstract：The system uses the business needs of a power company as the background. For the realization of the state testing of electrical equipment, rough sets and decision tree algorithm belonging to data mining technology is used as the basis. The paper proposes a data processing model combining rough sets with decision tree to realize for power each attribute the data analysis and processing equipment for power each attribute of electrical equipment. Rough sets and decision tree are used in this paper synthetically. Through rough set technology attribute reduction can be realized in this paper. Data which has been reduced is branched and cut branches by the use of the ID3 decision tree algorithm, and then rules in order can be got. At last, the working status of electrical equipment can be diagnosed rapidly and effi-ciently and the decision support is provided according to their work status.
Keywords：rough setsID3 algorithmknowledge basemodel library
Publication Date：2015-05-02
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 85-89 )