PE管道的近场微波成像及缺陷定量表征

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

Abstract

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%.

Key words: polyethylene pipeline, non-destructive testing, microwave imaging, defect characterization

CLC Number:

TE973

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.

Figures/Tables 13

References 29

[1]	AMINEH R K , RAVAN M , SHARMA R . Nondestructive testing of nonmetallic pipes using wideband microwave measurements[J]. IEEE Transactions on Microwave Theory and Techniques, 2020,68(5): 1763-1772.
[2]	潘义洋 . 无机非金属材料的应用与发展研究[J]. 中国设备工程, 2022(22): 237-239.
	PAN Y Y . Application and development of inorganic non-metallic materials[J]. China Plant Engineering, 2022(22): 237-239.
[3]	LI Z , WANG P , HAIGH A ,et al. Review of microwave techniques used in the manufacture and fault detection of aircraft composites[J]. The Aeronautical Journal, 2020,125:1283.
[4]	GRESIL M , POOHSAI A , CHANDARANA N . Guided wave propagation and damage detection in composite pipes using piezoelectric sensors[J]. Asia-Pacific Workshop on Structural Health Monitoring, 2017,188: 148-155.
[5]	何慧娟 . 含缺陷聚乙烯燃气管道热熔接头力学性能研究[D]. 成都:西南石油大学, 2015.
	HE H J . Study on mechanical properties of hot welding joint of polyethylene gas pipeline with defects[D]. Chengdu:Southwest Petroleum University, 2015.
[6]	仵蕾燕 . 激光线扫描激发超声检测钢轨踏面缺陷方法[D]. 北京:北京交通大学, 2021.
	WU L Y . Method for detect rail tread defect by laser line scan excitation ultrasound[D]. Beijing:Beijing Jiaotong University, 2021.
[7]	朱志彬 . 基于持续激励红外热像技术的聚乙烯管热熔接头缺陷检测[J]. 焊接学报, 2018,39(2): 44-48,88,130,131.
	ZHU Z B . Defect detection of polyethylene pipe thermal fusion joint based on continuous excitation infrared thermography technology[J]. Transactions of the China Welding Institution, 2018,39(2): 44-48,88,130,131.
[8]	CHANDARANA N , LANSIAUX H , GRESIL M . Characterisation of damaged tubular composites by acoustic emission,thermal diffusivity mapping and TSR-RGB projection technique[J]. Applied Composite Materials, 2017,24(2): 525-551.
[9]	GHOLIZADEH S . A review of non-destructive testing methods of composite materials[J]. Procedia Structural Integrity, 2016,1: 50-57.
[10]	MUKHERJEE S , SHI X , DATTA S ,et al. Enhancement of microwave time reversal imaging using metallic reflectors[J]. NDT ＆ E International, 2020,110:102192.
[11]	HARYONO A , RAHMAN M S U , ABOU-KHOUSA M . Inspection of non-metallic pipes using microwave non-destructive testing (NDT)[C]// Proceedings of 2018 IEEE International RF and Microwave Conference (RFM). Piscataway:IEEE Press, 2019: 219-222.
[12]	RAHMAN M S U , HARYONO A , ABOU-KHOUSA M A . Microwave non-destructive evaluation of glass reinforced epoxy and high density polyethylene pipes[J]. Journal of Nondestructive Evaluation, 2020,39(1): 26.
[13]	韩方勇, 李金武, 王一帆 ,等. 玻璃钢管的微波无损检测技术[J]. 石油规划设计, 2019,30(3): 7-10,50.
	HAN F Y , LI J W , WANG Y F ,et al. Microwave nondestructive testing technology of glass steel pipe[J]. Petroleum Planning ＆ Engineering, 2019,30(3): 7-10,50.
[14]	车飞, 朱丽丽, 王一帆 ,等. 燃气PE管道热熔接头的微波无损检测应用[J]. 管道技术与设备, 2022(3): 41-44.
	CHE F , ZHU L L , WANG Y F ,et al. Microwave nondestructive testing application of butt fusion joints for gas PE pipeline[J]. Pipeline Technology and Equipment, 2022(3): 41-44.
[15]	MURPHY K , LOWE D . Evaluation of a novel microwave based NDT inspection method for polyethylene joints[C]// ASME 2011 Pressure Vessels and piping Conference.[S.l.:s.n.], 2011: 321-327.
[16]	CARRIGAN T D , FORREST B E , ANDEM H N ,et al. Nondestructive testing of nonmetallic pipelines using microwave reflectometry on an in-line inspection robot[J]. IEEE Transactions on Instrumentation and Measurement, 2019,68(2): 586-594.
[17]	GHASR M T , YING K , ZOUGHI R . 3D millimeter wave imaging of vertical cracks and its application for the inspection of HDPE pipes[C]// Proceedings of the 40th Annual Review of Progress In Quantitative Nondestructive Evaluation.[S.l. AIP Publishing LLC 2014: 1581,1531-1536.
[18]	田贵云 . 电磁无损检测传感与成像[M]. 北京: 机械工业出版社, 2020.
	TIAN G Y . Sensing and imaging for electromagnetic nondestructive testing[M]. Beijing: Mechanical Industry Press, 2020.
[19]	YUAN B , QIAN Z , ZHANG C Z ,et al. A critical review on the technique and mechanism of microwave-based denitrification in flue gas[J]. Journal of Environmental Sciences, 2022,120(10): 144-157.
[20]	刘婕 . 近场毫米波三维全息成像算法研究[D]. 南京:南京理工大学, 2020.
	LIU J . Research on near-field millimeter wave 3D holographic imaging algorithm[D]. Nanjing:Nanjing University of Science and Technology, 2020.
[21]	NAI X Z , YU Z Z , SONG Y D . Rethinking unsupervised texture defect detection using PCA[J]. Optics and Lasers in Engineering, 2023,163:107470.
[22]	董仕佳 . 基于PCA噪声预估的视频降噪及无参考质量评价研究[D]. 南京:南京邮电大学, 2019.
	DONG S J . Research on video denoising and no-reference quality evaluation based on PCA noise prediction[D]. Nanjing:Nanjing University of Posts and Telecommunications, 2019.
[23]	CHIZH M , ZHURAVLEV A , RAZEVIG V ,et al. Broadband microwave imaging for foam insulation diagnostics[C]// Proceedings of 2018 Progress in Electromagnetics Research Symposium (PIERS-Toyama). Piscataway:IEEE Press, 2019: 1887-1894.
[24]	褚致弘, 张逸竹, 曲秋红 ,等. 高空间分辨率高可见度的太赫兹光谱成像研究[J]. 光谱学与光谱分析, 2023,43(2): 356-362.
	CHU Z H , ZHANG Y Z , QU Q H ,et al. Terahertz spectral imaging with high spatial resolution and high visibility[J]. Spectroscopy and Spectral Analysis, 2023,43(2): 356-362.
[25]	黄志健, 赵志强, 赵旌含 . 相关滤波跟踪算法的改进预处理技术[J]. 福建电脑, 2021,37(10): 32-34.
	HUANG Z J , ZHAO Z Q , ZHAO J H . Improved preprocessing technology for tracking algorithm based on correlation filtering[J]. Fujian Computer, 2021,37(10): 32-34.
[26]	YI S H , CHIN L C . Analyzing a series of thermal infrared images to identify defects using a hybrid approach that combines robust principal component analysis and image segmentation[J]. NDT ＆ E International, 2023:doi.org/10.1016/j.ndteint.2023.102818.
[27]	肖夏伟, 陈苏怡, 朱伟兴 . RGB-双边滤波增强的二维 Otsu 阈值分割算法[J]. 计算机时代, 2022(8): 34-38.
	XIAO X W , CHEN S Y , ZHU W X . Two-dimensional Otsu threshold segmentation algorithm enhanced by RGB-bilateral filtering[J]. Computer Era, 2022(8): 34-38.
[28]	李青蔚, 杜立杰, 杨亚磊 ,等. TBM掘进岩渣图像分割与识别方法研究[J]. 隧道建设(中英文), 2021,41(5): 803-813.
	LI Q W , DU L J , YANG Y L ,et al. Segmentation and recognition method of rock muck image during tunnel boring machine construction[J]. Tunnel Construction, 2021,41(5): 803-813.
[29]	姚金宝, 张义民, 张凯 . 基于动态分组和权重学习教与学算法的 Otsu图像阈值分割[J]. 计算机应用与软件, 2022,39(10): 191-197,237.
	YAO J B , ZHANG Y M , ZHANG K . Otsu image threshold segmentation based on dynamic grouping and weight learning teaching and learning algorithm[J]. Computer Applications and Software, 2022,39(10): 191-197,237.

Metrics

Recommended 0

No Suggested Reading articles found!

方法	峰值信噪比/dB
基准方法	14.325
本文方法-PCA杂波抑制	15.365
本文方法-最大值滤波	15.546

缺陷标号	缺陷中心位置	缺陷面积/mm²
#1	(-80,168)	1 000
#2	(-80,-169)	2 794.6
#3	(80,169)	4 150
#4	(80,-169)	2 185

缺陷标号	缺陷设计质心	表征质心	质心距离/mm	距离平均值/mm
#1	(-82,170)	(-80,168)	2.82
#2	(-82,-170)	(-80,-169)	2.23	2.38
#3	(-82,170)	(-80,169)	2.23
#4	(82,-170)	(80,-169)	2.23

缺陷标号	缺陷设计面积/mm²	表征面积/mm²	面积相对误差	面积相对误差均值
#1	1 250	1 000	20%
#2	3 140	2 794.6	11%	13.25%
#3	5 000	4 150	17%
#4	2 300	2 185	5%

Near-field microwave imaging and quantitative characterization of defects in PE pipeline

RichHTML

PDF

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 13

References 29

Related Articles 1

Metrics

Recommended 0