基于PRPD模式中密集集群的演变特征的HV布施部分排放的动态严重性评估
Xiang Gao1, Zhiyu Li1, Zuoming Xu1
1State Key Laboratory of Power Grid Environmental Protection, China Electric Power Research Institute, Wuhan 430074, China.
Sensors (Basel, Switzerland)
|December 31, 2025
概括
本研究引入了一种动态方法,通过分析PD集群来评估高压口中的部分放电 (PD) 严重性. 新方法为早期缺陷检测提供了更敏感和物理可解释的条件监测.
科学领域:
- 电气工程 电气工程
- 材料科学 材料科学 材料科学
背景情况:
- 传统的部分放电 (PD) 分析用于高压 (HV) 口使用粗的全球模式,限制灵敏度和持续降解跟踪.
- 现有的方法难以捕捉绝缘缺陷的细微变化.
研究的目的:
- 开发基于PD集群分析的HV的动态严重性评估方法.
- 为了提高灵敏度,物理解释性和早期预警能力,用于灌木状况监测.
主要方法:
- 提出了动态严重性评估,重点关注PRPD模式中的密集PD集群,将其视为排放通道的投影.
- 使用多级相对密度和形态图像处理算法从PRPD组图中提取PD集群.
- 开发了一个20维特征集和一个五指数系统,结合一个模糊的综合评估模型来评估严重程度.
主要成果:
- 该方法通过分析PD集群数量,强度,位置和形状的演变来成功追踪缺陷的发展.
- 获得了高的评估信心 (平均60.1%,在关键失效时上升到100%),并确定了三个不同的退化阶段.
- 与传统方法相比,显示了显著的优势,包括改进了早期预警,单调性,稳定性和动态范围.
结论:
- 拟议的基于集群的动态PD严重性评估为HV形状监测和早期预警提供了更敏感和物理可解释的工具.
- 该方法提供了稳定,阶段一致的评估,在关键绩效指标上优于传统方法.
- 这种方法使得更细致的缺陷描述和跟踪成为可能,这对于防止关键绝缘元件发生灾难性故障至关重要.
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