摘要

  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.

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