Research on flashover prediction method of catenary insulator based on IDBO-BP

WANG Sihua; WENG Jiandang

doi:10.14188/j.1671-8844.2025.0073

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Research on flashover prediction method of catenary insulator based on IDBO-BP

更新时间：2026-10-16

- Research on flashover prediction method of catenary insulator based on IDBO-BP
- Engineering Journal of Wuhan University Pages: 1-12(2026)
- 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：
- 基金信息：
- DOI：10.14188/j.1671-8844.2025.0073
  CLC： TM216
- Online First：16 October 2026，
- 稿件说明：
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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：

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

李晓刚 , 谢敏 , 刘祝鸿 , 等 . 基于BP神经网络模型的复合绝缘子伞裙优化技术 [J ] . 高压电器 , 2022 , 58 ( 11 ): 98 - 105 .

Li Xiaogang , Xie Min , Liu Zhuhong , et al . Optimization technology of Composite insulator parachute skirt based on BP Neural Network Model [J ] . High Voltage Electrical Apparatus , 2022 , 58 ( 11 ): 98 - 105 .

梁曦东 , 高岩峰 , 王家福 , 等 . 中国硅橡胶复合绝缘子快速发展历程 [J ] . 高电压技术 , 2016 , 42 ( 09 ): 2888 - 2896 .

Liang Xidong , Gao Yanfeng , WANG Jia-fu , et al . Rapid development of silicone rubber composite insulators in China [J ] . High Voltage Technology , 2016 , 42 ( 09 ): 2888 - 2896 .

丁龙 , 郝虎在 , 吕玉祥 , 等 . 基于支持向量机回归法的绝缘子污闪电压预测研究 [J ] . 电瓷避雷器 , 2014 , ( 01 ): 23 - 25 .

Ding Long , Hao Huzai , Lv Yuxiang , et al . Research on Insulator Pollution Lightning Pressure Prediction based on support vector Machine regression Method [J ] . Electric Porcelain Lightning Arrester , 2014 , ( 01 ): 23 - 25 .

Kiruthika M , Sivadasan J . Evaluation and prediction of flashover voltage on contaminated composite insulators [C ] // 2015 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT) . IEEE , 2015 : 1 - 5 .

王黎明 , 李旭 , 曹彬 , 等 . 基于BP神经网络的线路绝缘子表面泄漏电流预测 [J ] . 高压电器 , 2020 , 56 ( 02 ): 69 - 76 .

Wang Liming , Li Xu , Cao Bin , et al . Prediction of Surface Leakage Current of Line Insulator based on BP Neural Network [J ] . High Voltage Transducer , 2020 , 56 ( 02 ): 69 - 76 .

Zhou Zhenan , LI Haowei , Wen Silun , et al . Prediction Model for the DC Flashover Voltage of a Composite Insulator Based on a BP Neural Network [J ] . Energies , 2023 , 16 ( 2 ): 984 - 984 .

Du Y , Cao Y , Fu Y , et al . Lifetime Prediction of Composite Insulator Based on BP Neural Network [C ] // 2023 IEEE 6th International Electrical and Energy Conference (CIEEC) . IEEE , 2023 : 4060 - 4064 .

王思华 , 王惠 , 田铭兴 . 盐碱沙尘区域的接触网绝缘子动态积污与预测研究 [J ] . 铁道学报 , 2020 , 42 ( 08 ).

Wang Sihua , Wang Hui , Tian Mingxing . Research on Dynamic Pollution Accumulation and Prediction of Contact Network Insulators in Saline - alkali Dusty Areas [J ] . Journal of Railway Science and Engineering , 2020 , 42 ( 08 ).

Daisuke S , Wataru K , Wiak S , et al . Torque ripple reduction by optimizing magnet shape using GA in axial gap motor [J ] . International Journal of Applied Electromagnetics and Mechanics , 2024 , 76 ( 1-2 ): 171 - 179 .

王思华 , 景弘 . 一种接触网绝缘子污闪预测方法的研究 [J ] . 铁道学报 , 2018 , 40 ( 03 ): 58 - 67 .

Wang Sihua , Jing Hong . Research on a pollution flashover prediction method for catenary insulators [J ] . Journal of the Railway Society , 2018 , 40 ( 03 ): 5867 .

Xue J , Shen B . Dung beetle optimizer: A new meta-heuristic algorithm for global optimization [J ] . The Journal of Supercomputing , 2023 , 79 ( 7 ): 7305 - 7336 .

郭琴 , 郑巧仙 . 多策略改进的蜣螂优化算法及其应用 [J ] . 计算机科学与探索 , 2024 , 18 ( 04 ): 930 - 946 .

Guo Qin , Zheng Qiaoxian . Multi-strategy Improved Dung Beetle Optimizer and Its Application [J ] . Exploration of Computer Science and Technology , 2024 , 18 ( 04 ): 930 - 946 .

夏煌智 . 蜣螂优化算法的改进与应用研究 [D ] . 牡丹江师范学院 , 2024 .

Xia Huangzhi . Research on Improvement and Application of Dung Beetle Optimization Algorithm [D ] . Mudanjiang Normal University , 2024 .

王子恺 , 黄学雨 , 朱东林 , 等 . 融合排序弹性碰撞的改进麻雀搜索算法 [J ] . 计算机科学与探索 , 2023 , 17 ( 08 ): 1867 - 1878 .

Wang Zikai , Huang Xueyu , Zhu Donglin , et al . An improved Sparrow Search Algorithm for Fusion sorting Elastic Collisions [J ] . Computer Science and Exploration , 2023 , 17 ( 08 ): 1867 - 1878 .

耿召里 , 李目 , 曹淑睿 , 等 . 基于混合反向学习策略的鲸鱼优化算法 [J ] . 计算机工程与科学 , 2022 , 44 ( 02 ): 355 - 363 .

Geng Zhaoli , Li Mu , Cao Shurui , et al . Whale optimization algorithm based on Mixed reverse Learning strategy [J ] . Computer Engineering and Science , 2022 , 44 ( 02 ): 355 - 363 .

赵云龙 , 刘占双 , 李岩 , 等 . 基于PCA-kmeans和图谱特征的绝缘子表面污秽程度评估方法 [J ] . 电瓷避雷器 , 2023 , ( 05 ): 193 - 200 .

Zhao Yunlong , Liu Zhanshuang , Li Yan , et al . Evaluation method of insulator surface pollution Degree based on PCA-kmeans and spectrum characteristics [J ] . Electric porcelain arrester , 2023 , ( 05 ): 193 - 200 .

高磊 , 蔡志远 , 马少华 , 等 . 用盐雾法研究复合绝缘子污秽闪络特性 [J ] . 高压电器 , 2018 , 54 ( 10 ): 120 - 124 .

Gao Lei , Cai Zhiyuan , Ma Shaohua , et al . Research on pollution flashover characteristics of Composite insulators by salt spray method [J ] . High Voltage Electrical Apparatus , 2018 , 54 ( 10 ): 120 - 124 .

赵云鹏 , 胡玉耀 , 蒋兴良 , 等 . 绝缘子不均匀积污成因及其对交流闪络特性的影响 [J ] . 电子测量与仪器学报 , 2023 , 37 ( 12 ): 186 - 195 .

Zhao Yunpeng , Hu Yuyao , Jiang Xingliang , et al . Causes of Non-uniform pollution accumulation of insulators and its influence on AC flashover Characteristics [J ] . Chinese Journal of Electronic Measurement and Instrumentation , 2023 , 37 ( 12 ): 186 - 195 .

Salem A A , Abd R R , Rahiman W , et al . Pollution flashover under different contamination profiles on high voltage insulator: Numerical and experiment investigation [J ] . IEEE Access , 2021 , 9 : 37800 - 37812 .

张福增 , 王黎明 , 关志成 . 复合绝缘子伞裙参数对直流污闪电压的影响 [J ] . 高电压技术 , 2010 , 36 ( 03 ): 603 - 608 .

Zhang Fuzeng , Wang Liming , Guan Zhicheng . Effect of Composite insulator skirt Parameters on DC Pollution Lightning Voltage [J ] . High Voltage Technology , 2010 , 36 ( 03 ): 603 - 608 .

舒立春 , 袁前飞 , 张志劲 , 等 . 不同伞形结构复合绝缘子的交流污闪有效爬电距离 [J ] . 电网技术 , 2011 , 35 ( 03 ): 146 - 151 .

Shu Lichun , Yuan Qianfei , Zhang Zhijin , et al . Ac pollution flashover effective creepage distance of composite insulators with different umbrella structures [J ] . Power Grid Technology , 2011 , 35 ( 03 ): 146 - 151 .

张玉涛 , 郭强 , 张园勃 , 等 . 基于相关系数法的煤自燃危险性关联分析及预测 [J ] . 中国安全科学学报 , 2024 , 34 ( 01 ): 125 - 132 .

Zhang Yutao , Guo Qiang , Zhang Yuanbo , et al . Correlation analysis and prediction of coal spontaneous combustion risk based on correlation coefficient method [J ] . China Safety Science Journal , 2024 , 34 ( 01 ): 125 - 132 .

Zhang L , Wang F , Sun T , et al . A constrained optimization method based on BP neural network [J ] . Neural Computing and Applications , 2018 , 29 : 413 - 421 .

王思华 , 马圣易 . 改进SABO-BP接触网复合绝缘子污闪电压预测模型 [J ] . 哈尔滨工业大学学报 , 2025 , 57 ( 06 ): 145 - 153 .

Wang Sihua , Ma Shengyi . An Improved SABO-BP Prediction Model for Pollution Flashover Voltage of Composite Insulators in Overhead Contact Systems [J ] . Journal of Harbin Institute of Technology , 2025 , 57 ( 06 ): 145 - 153 .

李明阳 , 贾红云 , 陈卓 . 基于双神经网络自学习的IPMSM自抗扰控制 [J ] . 武汉大学学报(工学版) , 2024 , 57 ( 02 ): 201 - 208 .

Li Mingyang , Jia Hongyun , Chen Zhuo . ADRC of IPMSM Based on Dual Neural Network Self-Learning [J ] . Journal of Wuhan University (Engineering Edition) , 2024 , 57 ( 02 ): 201 - 208 .

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