Digital Imaging Detection and Image Analysis of Internal Structural Defects in GIS


如何引用文章

全文:

开放存取 开放存取
受限制的访问 ##reader.subscriptionAccessGranted##
受限制的访问 订阅存取

详细

The existence of internal structural defects in gas insulated combinations (GIS) seriously affects the normal operation of equipment, and it needs an efficient and non-destructive detection method. This study is focused on the feasibility of X-ray digital imaging detection in GIS equipment monitoring. First, the digital imaging detection process is briefly introduced. Then, in order to obtain high-quality digital images, a correlation coefficient is introduced to improve the nonlocal mean filtering denoising algorithm. In terms of image enhancement, a histogram equalization method is introduced, and then an improved contrast-limited adaptive histogram equalization (CLAHE) method is proposed for image denoising. The detection system and image processing method of this study are used to detect two GIS equipment units of the Chongqing Electric Power Company (China). It is found that this method clearly and accurately detects the equipment defects with high reliability. This study provides some theoretical basis for further promotion of the X-ray digital radiography in GIS equipment defect detection.

作者简介

H. Tan

State Grid Chongqing Electric Power Research Institute

Email: longl_li@yeah.net
中国, Middle Section of Huangshan Avenue, 80, Chongqing, 401123

L. Li

State Grid Chongqing Electric Power Research Institute

编辑信件的主要联系方式.
Email: longl_li@yeah.net
中国, Middle Section of Huangshan Avenue, 80, Chongqing, 401123

G. Wu

State Grid Chongqing Electric Power Research Institute

Email: longl_li@yeah.net
中国, Middle Section of Huangshan Avenue, 80, Chongqing, 401123

Q. Wang

State Grid Chongqing Electric Power Research Institute

Email: longl_li@yeah.net
中国, Middle Section of Huangshan Avenue, 80, Chongqing, 401123

补充文件

附件文件
动作
1. JATS XML

版权所有 © Allerton Press, Inc., 2019