计算机科学 ›› 2012, Vol. 39 ›› Issue (Z11): 83-87.

• 服务化的科研成果 • 上一篇    下一篇

贝叶斯网络在输电线路运行状态预测中的应用

段其昌 周华鑫 程有富 张广峰   

  1. (重庆大学自动化学院 重庆 400044)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Application of Bayesian Network in Transmission Lines Running State Prediction

  • Online:2018-11-16 Published:2018-11-16

摘要: 为了提高电力输电线路巡检的效率,充分考虑了影响输电线路运行状态的各种因素,采用基于贝叶斯网络的 数据挖据方法,建立了输电线路运行状态模型,它通过预测结果可以对巡检制定出合理的计划。在SPSS Clementine 下进行的仿真实验证明,该模型具有较高的准确率。

关键词: 输电线路巡检,数据挖掘,贝叶斯网络

Abstract: In order to improve the efficiency of power transmission line inspection, this paper fully considers various fac- tors that influence the running state of transmission lines, establishs the transmission line operation state model based on bayesian network data mining method, and it can make reasonable inspection plan through the forecast results. The SPSS Clementine simulation test show tht this model has higher accuracy.

Key words: I}ransmission Mine inspection, Data mining, Bayesian network

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!