变电站中基于告警本体的关联规则知识模型研究

作者：刘晟; 廖志伟

来源：中国,黑龙江省,绥化市,北林区.

• 变电站
• 告警信息
• 关联规则
• 知识模型

　　This paper is to further explore the information of alarm in substation,and to improve the effi-ciency and accuracy of association rules.It comes up with a mining method of association rule based on alarm ontology,and builds up a model of it.This method divides the alarm into 6 top concept and 13 bottom con-cept by using the construction knowledge of ontology,the information generalization and preparation of the data dictionary,to set foundation for the improved Apriori algorithm also for the feedback mechanism in the model.Compared to the existing improved algorithms,this method can not only improve operational effi-ciency,but can also reduce redundancy and useless conclusion.Efficient generation of association rules and assertions rules proved the validity of this method and model.

• 单位
  华南理工大学