计算机与数字工程2017，Vol.45Issue(4)：700-705,739,7.DOI:10.3969/j.issn.1672-9722.2017.04.023
基于Apriori-BPNN分析的继电保护通信电路风险评估研究及应用
Research and Application of Risk Assessment of Relay Protection Communication Circuit Based on Apriori-BPNN Analysis
摘要
Abstract
With combination of both association rules analysis and neural network method, an algorithm named "Apriori-BPNN" for assessing the risk is proposed in order to solve the contradiction between the "massive data" and "limited knowledge" and improve accuracy and efficiency of risk assessment on the relay protection communication circuit.After an intimal index system is set up based on the heterogeneous multi data, the improved Apriori algorithm is used to determine the correlation of various factors and objectives to achieve the index screening.The BP neural network algorithm is used to determine the weight of each factor to obtain the final comprehensive risk evaluation index.Simulation results indicate that the Apriori-BPNN avoids disadvantages of the traditional analytic hierarchy process, simplifies the structure of neural network and improves accuracy and efficiency of the risk assessment algorithm of the relay protection communication circuit.The operation and maintenance staff can timely detect the hidden dangers and risks so as to guide relaying protection communication circuit of active warning and intelligent maintenance, finally improves the security and stability of the relay protection operation.关键词
关联规则分析/神经网络/Apriori-BPNN分析/继电保护通信电路/风险评估Key words
association rule analysis/neural network/Apriori-BPNN analysis/relay protection communication circuit/risk assessment分类
信息技术与安全科学引用本文复制引用
吕顺利,施健,缪巍巍,吴海洋,陆涛..基于Apriori-BPNN分析的继电保护通信电路风险评估研究及应用[J].计算机与数字工程,2017,45(4):700-705,739,7.基金项目
江苏省电力公司运用大数据技术的通信网络全景监测与智能调配技术研究与应用项目(编号:500327478)资助. （编号:500327478）
