Selection of key incentives for power production safety accidents based on association rule mining

被引：0
|
作者：
Chen B. [1 ]
Ding J. [1 ]
Chen S. [2 ]
机构：
[1] Guangxi key Laboratory of Power System Optimization and Energy Technology, Guangxi University, Nanning
[2] Guangxi Power Grid Electric Power Research Institute, Nanning
来源：
| 2018年 / Electric Power Automation Equipment Press卷 / 38期
基金：
中国国家自然科学基金;
关键词：
Apriori algorithm; Association rules; Incentive degree; Power production safety accidents;
D O I：
10.16081/j.issn.1006-6047.2018.04.010
中图分类号：
学科分类号：
摘要：
With the development of smart grid,communication network and power production safety accident analysis level,the data of power production safety accident is growing exponentially with more complexity,which gradually forms the big data of accidents in electric power production. In order to classify and identify the causes of accidents effectively and reliably on the basis of a large amount of prior accident data,the association rule mining is adopted to select the key incentives of power production safety accident. The incentive analysis system of power production safety accident is established according to the characteristics of accidents. Boolean discretization is carried out to diffe-rent type of accidents,the calculation method for incentive degree of accident causes is proposed based on association rule mining,the Apriori algorithm is adopted for deep association rules mining,and the key causes are selected and analyzed based on the strong association rules. The validity of the proposed method is verified by the analysis of 5-year regional accident cases. © 2018, Electric Power Automation Equipment Press. All right reserved.
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页码：68 / 74
页数：6
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