Extraction Method of Ultraviolet Image Parameters of Discharge for High-voltage Device

ZHANG Hongzhao; LIU Guojian; HUANG Ronghui; YAO Senjing; WANG Fenghua

doi:10.13296/j.1001-1609.hva.2016.03.029

您当前的位置：

首页 >

文章列表页 >

Extraction Method of Ultraviolet Image Parameters of Discharge for High-voltage Device

更新时间：2025-04-26

- Extraction Method of Ultraviolet Image Parameters of Discharge for High-voltage Device
- High VoltageApparatus Vol. 52, Issue 3, Pages: 177-183(2016)
- 作者机构：
  
  1. 深圳供电局有限公司
  2. 上海电力学院电气工程学院
  3. 上海交通大学电气工程系
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2016.03.029
  CLC： TM51;TN23
- Published：2016
- 稿件说明：
移动端阅览
[1]张宏钊,刘国坚,黄荣辉,姚森敬,王丰华.高压设备放电紫外图像特征量提取方法研究[J].高压电器,2016,52(03):177-183.

ZHANG Hongzhao, LIU Guojian, HUANG Ronghui, et al. Extraction Method of Ultraviolet Image Parameters of Discharge for High-voltage Device[J]. High voltageapparatus, 2016, 52(3): 177-183.
[1]张宏钊,刘国坚,黄荣辉,姚森敬,王丰华.高压设备放电紫外图像特征量提取方法研究[J].高压电器,2016,52(03):177-183. DOI： 10.13296/j.1001-1609.hva.2016.03.029.

ZHANG Hongzhao, LIU Guojian, HUANG Ronghui, et al. Extraction Method of Ultraviolet Image Parameters of Discharge for High-voltage Device[J]. High voltageapparatus, 2016, 52(3): 177-183. DOI： 10.13296/j.1001-1609.hva.2016.03.029.

摘要

紫外成像仪提供光子数来表征放电强度

但是因为存在环境噪声干扰

光子数并不准确

有时甚至误差很大。为了更准确地描述高压设备的放电状态

文中提出了利用数字图像处理技术提取图像参量来表征放电特性的新方法。首先将试验得到的紫外图像灰度化

再通过阈值分割法二值化

利用数学形态法滤波以及通过小区域消除算法提取了放电区域;之后

采取不规则图形边界跟踪算法得到放电区域边界点的坐标

并对光斑面积、边界周长、长轴、短轴等参数进行定义并计算;最后采用radon变换算法

获得沿高压设备表面的放电强度空间分布曲线。变电站现场绝缘子表面放电实例应用表明了上述方法能正确有效地评估放电特性。

Abstract

Ultraviolet（UV） imager provides UV photon number to characterize the discharge intensity.However

the photon number is inaccurate due to environmental noise interference. For the purpose of more accurate description of high-voltage device discharge characteristics

a new method for extracting UV image parameters based on image processing technique is proposed in this paper. The discharge regions are extracted with the method of threshold segmentation

morphological filtering

and small region elimination algorithm. Then the coordinates of the boundary points of each discharge region are obtained through the multi-zone boundary tracking algorithm

and the parameters of facular area

perimeter and other parameters are defined and calculated to quantify the discharge intensity. Further

the radon parallel line projection algorithm is applied to get the discharge intensity distribution on surface of high-voltage equipment. A practical discharge detection example of a substation insulator demonstrates that the proposed method can evaluate the discharge characteristics effectively.

关键词

Keywords

references

Views

150

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Ultraviolet Image Facular Area Vary Characteristic and Apparent Discharge Estimation of Suspension Composite Insulator Corona

Image Superposition Method for Detection of Electric Equipment Discharge Ultraviolet Image

Ultraviolet Image Segmentation and Characteristic Quantities of Corona Discharge Based on C-V Model

Typical Fault Analysis Caused by Shielded Separable Connector

Research on Electric Field Distribution of Insulators Based on Dynamic Pollution Accumulation of Charged Particles

Related Author

CHEN Lei 1

ZHOU Fang-rong 1

MA Yi 1

DENG He-ming 2

WANG Sheng-hui 3

ZHANG Hongzhao

WU Zhongyang

HUANG Ronghui

Related Institution

Yunnan Electrical Power Experiment Institute Co.

Wuhan NARI Limited Company of State Grid Electric Power Research Institute

North China Electric Power University

School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University

College of Electrical and Electric Engineering,Shandong University of Technology

⁰