Abstract：The vigorous development of large power data provides new opportunities and platforms for the reliable perception of power production security situation. Firstly, a multi-level and all-round power production safety accident causation system is established. Secondly, relying on the mining of association rules, the calculation model of accident-induced degree is established, including the definition of association rules, Boolean discretization of different types of accidents, the calculation of confidence, support and correlation of association rules. Again, Apriori algorithm is used to capture the critical causes of accidents. Finally, an example is given to prove it. Empirical results show that the panoramic information of historical fault reports can be extracted scientifically by using the model in this paper, and can be abstracted to show the key causes of various accident events, so as to form a very targeted safety control measures and strategies.
李勋, 周伟. 依托关联规则挖掘的电力生产安全事故致因攫取[J]. 电气技术, 2020, 21(2): 86-90.
Li Xun, Zhou Wei. Cause grabbing of electric power production safety accidents based on association rules mining. Electrical Engineering, 2020, 21(2): 86-90.
2020, Vol. 21 
