PE管道的近场微波成像及缺陷定量表征

雒明世; 张蒙蒙; 方阳

doi:10.11959/j.issn.1000-436x.2023180

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PE管道的近场微波成像及缺陷定量表征

学术论文 | 更新时间：2024-06-06

- PE管道的近场微波成像及缺陷定量表征
- Near-field microwave imaging and quantitative characterization of defects in PE pipeline
- 通信学报 2023年44卷第9期页码：139-148
- 作者机构：
  
  1. 西安石油大学计算机学院，陕西西安 710065
  2. 西安交通大学航天航空学院，陕西西安 710049
- 作者简介：
  
  [ "雒明世（1966- ），男，陕西咸阳人，西安石油大学副教授、硕士生导师，主要研究方向为现代通信网理论、无线传感器网络、智能数字油田、工业互联网新型通信协议与组网技术等" ]
  [ "张蒙蒙（1997- ），女，河南濮阳人，西安石油大学硕士生，主要研究方向为计算机应用技术、微波成像" ]
  [ "方阳（1988- ），男，陕西渭南人，博士，西安交通大学助理教授，主要研究方向为微波/毫米波近场高分辨成像及其应用、微波无损检测、图像处理等" ]
- 基金信息：
  
  国家自然科学基金资助项目(52107009)
- DOI：10.11959/j.issn.1000-436x.2023180
  中图分类号： TE973
- 网络首发：2023-09，
  
  纸质出版：2023-09-25
- 稿件说明：
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雒明世, 张蒙蒙, 方阳. PE管道的近场微波成像及缺陷定量表征[J]. 通信学报, 2023,44(9):139-148.

Mingshi LUO, Mengmeng ZHANG, Yang FANG. Near-field microwave imaging and quantitative characterization of defects in PE pipeline[J]. Journal on Communications, 2023, 44(9): 139-148.
雒明世, 张蒙蒙, 方阳. PE管道的近场微波成像及缺陷定量表征[J]. 通信学报, 2023,44(9):139-148. DOI： 10.11959/j.issn.1000-436x.2023180.

Mingshi LUO, Mengmeng ZHANG, Yang FANG. Near-field microwave imaging and quantitative characterization of defects in PE pipeline[J]. Journal on Communications, 2023, 44(9): 139-148. DOI： 10.11959/j.issn.1000-436x.2023180.

摘要

为有效对聚乙烯（PE）管道内部缺陷进行检测，采用微波无损检测技术对PE管道进行检测及缺陷定量。针对 PE 管道缺陷图像的提取，提出了一种基于主成分分析（PCA）杂波抑制成像增强方法。针对已增强图像，使用阈值分割技术提取缺陷特征。实验结果表明，所提方法能有效对 PE 管道进行成像并对缺陷进行凸显，其成像质量优于未进行杂波抑制的图像，与理论值进行对比，缺陷定位的平均相对误差为2.38 mm，缺陷面积相对误差为13.25%。

Abstract

In order to effectively detect internal defects in polyethylene (PE) pipeline

microwave non-destructive testing technology was used to detect and quantify defects in PE pipelines.A clutter suppression imaging enhancement method based on principal component analysis (PCA) was proposed for extracting defect images from PE pipelines.Threshold segmentation techniques were used to extract defect features from the enhanced images.Experimental results demonstrate that the proposed method can effectively image PE pipelines and highlight defects.The imaging quality is superior to that of images without clutter suppression.Compared to theoretical values

the average relative error in defect localization is 2.38 mm

and the relative error in area quantification is 13.25%.

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references

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