Assessment Method of Contact Condition of GIS Disconnector Based on Weighted Naive Bayes

CHEN Zhonghua; HUANG Shuai; HU Qian; CHEN Feng; HAN Guowen; HAN Wenfang; PAI Yongfeng

doi:10.13296/j.1001-1609.hva.2025.12.007

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Assessment Method of Contact Condition of GIS Disconnector Based on Weighted Naive Bayes

Research & Analysis | 更新时间：2025-12-09

- Assessment Method of Contact Condition of GIS Disconnector Based on Weighted Naive Bayes
- High Voltage Apparatus Vol. 61, Issue 12, Pages: 50-57(2025)
- 作者机构：
  
  杭州市电力设计院有限公司，杭州 310000
  西安交通大学，西安 710049
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2025.12.007
  CLC：
- Received：01 April 2025，
  
  Revised：2025-06-06，
  
  Published：16 December 2025
- 稿件说明：
移动端阅览
CHEN Zhonghua, HUANG Shuai, HU Qian, et al. Assessment Method of Contact Condition of GIS Disconnector Based on Weighted Naive Bayes[J]. High Voltage Apparatus, 2025, 61(12): 50-57.
DOI：

CHEN Zhonghua, HUANG Shuai, HU Qian, et al. Assessment Method of Contact Condition of GIS Disconnector Based on Weighted Naive Bayes[J]. High Voltage Apparatus, 2025, 61(12): 50-57. DOI： 10.13296/j.1001-1609.hva.2025.12.007.

摘要

为了提高GIS隔离开关接触状态评估的可靠性，文中考虑其运行状态及环境信息，提出了一种基于加权朴素贝叶斯算法的隔离开关接触状态评估方法。将环境温度、风速、日照强度、导杆电流、外壳温度等作为状态评估模型的输入特征量，并建立了GIS隔离开关电磁—热—流多物理场耦合模型，仿真分析了特征量之间的关系。为了减弱特征相关性对评估结果的影响，建立了基于加权朴素贝叶斯的GIS隔离开关接触状态评估模型，并采用粒子群算法求解了该评估模型中特征的最优权重。对评估模型进行测试，结果证明了文中所提方法的有效性和正确性。

Abstract

For improving the reliability of contact condition assessment of GIS disconnector，in this paper a contact condition assessment method of disconnector based on weighted naive Bayes algorithm with consideration of its operation condition and environmental information is proposed. The ambient temperature，wind speed，sunlight intensity，current of conductive rod and temperature of enclosure are taken as the input characteristics of the state assessment model，the electromagnetic-thermal-flow multi physical field coupling model of GIS disconnector is setup，and the relationship between the characteristics is simulated and analyzed. In order to reduce the influence of feature correlation on the assessment results，a contact condition assessment model of GIS disconnector based on weighted naive Bayes is set up，and the particle swarm optimization algorithm is used to solve the optimal weight of features in the evaluation model. The assessment model is tested，and the effectiveness and correctness of the method propoed in this paper are proved by the result.

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references

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