基于IDBO-BP的接触网绝缘子闪络预测方法的研究

王思华; 翁建党

doi:10.14188/j.1671-8844.2025.0073

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基于IDBO-BP的接触网绝缘子闪络预测方法的研究

更新时间：2026-10-16

- 基于IDBO-BP的接触网绝缘子闪络预测方法的研究
- Research on flashover prediction method of catenary insulator based on IDBO-BP
- 武汉大学学报（工学版） 2026年页码：1-12
- 作者机构：
  
  1.兰州交通大学自动化与电气工程学院，甘肃兰州 730070
  2.甘肃省轨道交通电气自动化工程实验室，甘肃兰州 730070
- 作者简介：
  
  王思华(1968-)，男，教授，主要从事高电压与绝缘技术方向研究，E-mail: 1399228418@qq.com。
  翁建党(2000-)，男，硕士研究生，主要从事高压设备外绝缘方向研究，E-mail:2724399828@qq.com。
- 基金信息：
  
  国家自然科学基金资助项目(52467017)
- DOI：10.14188/j.1671-8844.2025.0073
  中图分类号： TM216
- 网络首发：2026-10-16，
- 稿件说明：
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王思华, 翁建党. 基于IDBO-BP的接触网绝缘子闪络预测方法的研究[J/OL]. 武汉大学学报（工学版）, 2026,1-12.

WANG Sihua, WENG Jiandang. Research on flashover prediction method of catenary insulator based on IDBO-BP[J/OL]. Engineering Journal of Wuhan University, 2026, 1-12.
王思华, 翁建党. 基于IDBO-BP的接触网绝缘子闪络预测方法的研究[J/OL]. 武汉大学学报（工学版）, 2026,1-12. DOI： 10.14188/j.1671-8844.2025.0073.

WANG Sihua, WENG Jiandang. Research on flashover prediction method of catenary insulator based on IDBO-BP[J/OL]. Engineering Journal of Wuhan University, 2026, 1-12. DOI： 10.14188/j.1671-8844.2025.0073.

摘要

为较快获取接触网复合绝缘子临界污闪电压，减少人工污秽试验工作量，为接触网防污闪工作提供指导，提出了一种融合多策略改进的蜣螂优化算法(improved dung beetle optimizer

IDBO)以优化(back propagation

BP)神经网络构建接触网复合绝缘子污闪电压预测模型。对12种复合绝缘子进行人工污秽试验，以获取相应的试验参数。通过运用斯皮尔曼(Spearman)相关系数法筛选出与复合绝缘子临界污闪电压相关性较为显著的五个参数，即伞间距

、大伞伸出

、小伞伸出

、盐密

ESDD

以及型号因子

，并将这五个参数作为预测模型的输入量。最后通过多模型预测对比得出优化后的IDBO-BP模型能够较准确预测复合绝缘子临界污闪电压，为提高接触网复合绝缘子的运行可靠性提供了新的方法论，为降低污闪试验工作量提供了新思路。

Abstract

In order to obtain the critical pollution lightning pressure of catenary composite insulators quickly

reduce the workload of artificial pollution test

and provide guidance for the anti-pollution flashover work of catenary lines

a multi-strategy improved Beetle optimization algorithm (IDBO) was proposed to optimize BP neural network to establish the critical pollution lightning pressure prediction model of catenary composite insulators. The artificial pollution test of 10 kinds of composite insulators was carried out to obtain the relevant test parameters. Spearman correlation coefficient method was used to select five parameters

such as umbrella spacing

large umbrella extension

small umbrella extension

equivalent salt attachment density

ESDD

and type factor

which are highly correlated with the critical pollution lightning voltage of composite insulators

as the input of the prediction model to obtain the predicted critical pollution lightning voltage of composite insulators. Finally

through the comparison of multiple models

it is concluded that the optimized IDBO-BP model can

accurately predict the critical pollution lightning voltage of composite insulators

which provides a new methodology for improving the operational reliability of composite insulators of catenary lines and a new idea for reducing the workload of pollution flashover test.

关键词

Keywords

references

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