基于FCM优化的平面阵列电容成像算法

doi:10.3969/j.issn.1000-1158.2020.02.18

摘要
图/表
参考文献(22)
相关文章 (15)

全文: PDF (1971 KB) HTML (1 KB)
输出: BibTeX | EndNote (RIS)

摘要为提高平面阵列电容成像系统的成像精度,提出了一种基于FCM数据优化的成像算法。根据平面阵列电极电容数据的特点,为减小电容测量误差对介电常数的影响,利用FCM算法对测量电容值的不断收敛以实现数据优化的作用,在减弱噪声的同时提高电容值数据的稳定性。在此基础上,对一种隔热材料胶层进行缺陷检测实验,使重建图像的相关系数得到了提高,减小了图像重建误差。实验结果表明:图像重建结果的优化算法可获得更加稳定、有效的电容数据,胶层缺陷图像重建精度具有较大提升。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	温银堂
	曹鹏鹏
	田洪刚
	张玉燕
	罗小元

关键词 ：计量学, 胶层缺陷图像重建, 隔热复合材料, FCM算法, 平面阵列传感器, 电容层析成像

Abstract：In order to improve the accuracy of planar array capacitance imaging, an imaging algorithm based on fuzzy C-means algorithm(FCM) data optimization is proposed. According to the characteristics of capacitance data of planar array electrodes, in order to reduce the influence of capacitance measurement error on dielectric constant, application of FCM algorithm to the continuous convergence of measured capacitance to achieve data optimization. On this basis, a defect detection experiment was carried out on a kind of insulating material adhesive layer, and the image correlation coefficient of the reconstructed image was improved, and the image reconstruction error was reduced. The experimental results show that the proposed optimization algorithm can obtain more stable and effective capacitance data, and the reconstruction accuracy of glue layer defect image has been greatly improved.

Key words： metrology insulation composite reconstruction of glue layer defect image FCM planar array sensor electrical capacitance tomography

收稿日期: 2018-09-25 发布日期: 2020-02-17

PACS:	TB971
	TP212.1

基金资助:国家自然科学基金(61573302);河北省自然科学基金(E2017203240)

通讯作者: 张玉燕(1976-),女,天津人,燕山大学仪器科学系教授、博士生导师,研究方向为结构健康检测、多传感器网络及应用。Email:yyzhang@ysu.edu.cn E-mail: xyluo@ysu.edu.cn

作者简介: 温银堂(1978-),男,河北保定人,燕山大学副研究员,主要研究方向为智能传感、结构,无损检测及健康监测技术。Email: ytwen@ysu.edu.cn

引用本文:

温银堂,曹鹏鹏,田洪刚,张玉燕,罗小元. 基于FCM优化的平面阵列电容成像算法[J]. 计量学报, 2020, 41(2): 231-237.
WEN Yin-tang,CAO Peng-peng,TIAN Hong-gang,ZHANG Yu-yan,LUO Xiao-yuan. An Optimized Planar Array Capacitance Imaging Algorithm Based on FCM. Acta Metrologica Sinica, 2020, 41(2): 231-237.

链接本文:

http://jlxb.china-csm.org:81/Jwk_jlxb/CN/10.3969/j.issn.1000-1158.2020.02.18 或 http://jlxb.china-csm.org:81/Jwk_jlxb/CN/Y2020/V41/I2/231

［1］Yand Y, Peng L. Data pattern with ect sensor and its impact on image reconstruction［J］. IEEE Sensors Journal, 2013, 13(5): 1582-1593.
［2］Hyenkyun W, Sungwhan K, Jin K. Electrical capacitance tomography for visualizing the flow of a mixture of high/low conducting components［J］. Inverse Problems in Science & Engineering, 2010, 18(5): 691-709.
［3］温丽梅, 周苗苗, 李明, 等. 改进的Tikhonov正则化图像重建算法［J］. 计量学报, 2018,39(5): 679-683.
Wen L M, Zhou M M, Lin M, et al. Improved tikhonov regularization method for image reconstruction［J］. Acta Metrologica Sinica, 2018,39(5): 679-683.
［4］Hu X, Yang W. Planar capacitive sensors-designs and Applications ［J］. Sensor Review, 2010, 30(1): 24-39.
［5］苗恩铭, 王鑫, 颜炎, 等. 电涡流传感器最佳工作区间确定方法研究［J］. 计量学报, 2011, 32(3): 239-243.
Miao N M, Wang X, Yan Y, et al. Study on the Method for Finding Optimum Working Range of Electric Eddy Sensor［J］. Acta Metrologica Sinica, 2011, 32(3): 239-243.
［6］Li Q, Ding S H, Li Y D, et al. Research on reconstruction algorithms in 2.52 THz off-axis digital holography［J］. Journal of Infrared, Millimeter, and Terahertz Waves, 2012, 33(10): 1039-1051.
［7］Lall P, Deshpande S, Wei J, et al. Non-destructive crack and defect detection in SAC solder interconnects using cross-sectioning and X-ray Micro-CT［C］//Electronic Components and Technology Conference. IEEE, Orlando, FL, USA, 2014: 1449-1456.
［8］樊丹丹, 潘晋孝, 刘宾. 多界面脱粘红外无损检测中热激励方法的研究［J］. 激光与红外, 2011, 41(3): 284-287.
Fan D D, Pan J X, Liu B, et al. Research of thermal excitationmethod in infrared NDT formultiple interface debonding［J］. Journal of laser and infrared, 2011, 41(3): 284-287.

［9］Nassr A A, El-Dakhakhni W W. Damage detection of frp-strengthened concrete structures using capacitance measurements［J］. Journal of Composites for Construction, 2009, 13(6): 486-497.
［10］Liu S, Lei J, Wang X Y, et al. Generalized multi-scale dynamic inversion algorithm for electrical capacitance tomography［J］. Flow Measurement & Instrumentation, 2013, 31(31): 35-46.
［11］Yang Y, Peng L. An image reconstruction algorithm for ect using enhanced model and sparsity regularization［C］//IEEE International Conference on Imaging Systems and Techniques. IEEE, Santorini Island, Greece, 2014: 35-39.
［12］季厌庸,刘亚楠,邓晨肖,等. 基于ECT的航空复合材料缺陷检测研究［J］. 计量学报, 2019, 40(6): 952-957.
Ji Y Y, Liu Y N, Deng C X, et al. Research on the Testing of Adhesive Defects of Aeronautical Composites Based on ECT［J］. Acta Metrologica Sinica, 2019, 40(6): 952-957.
［13］Wei H, Qiu C, Soleimani M. Evaluation of planar 3D electrical capacitance tomography: from single-plane to dual-plane configuration［J］. Measurement Science & Technology, 2015, 26(6): 267-273.
［14］Deabes W A, Amin H H. Fast Intelligent Image Reconstruction Algorithm for ECT Systems［J］. Distributed Computing and Artificial Intelligence, 2016: 313-321.
［15］赵玉磊, 郭宝龙, 吴宪祥, 等. 基于双粒子群协同优化的ECT图像重建算法［J］. 计算机研究与发展, 2014, 51(9): 2094-2100.
Zhao Y L, Guo B L, Wu X X, et al. Image reconstruction algorithm for ECT based on dual particle swarm collaborative optimization［J］. Journal of Computer Research and Development, 2014, 51(9): 2094-2100.
［16］Lei J, Liu W Y, Liu Q B, et al. Robust dynamic inversion algorithm for the visualization in electrical capacitance tomography［J］. Measurement, 2014, 50(4): 305-318
［17］Luryi S, Xu J, Zaslavsky A. Terahertz spectroscopy and imaging［J］. Infrared & Laser Engineering, 2013. 171(2): 359-368.
［18］娄银霞, 程铭, 文高进, 等. 基于FCM和遗传算法的图像模糊聚类分析［J］. 计算机工程与应用, 2006, 46(35): 173-176.
Lou Y X, Ceng M, Wen G J, et al. Image fuzzy clustering analysis based on FCM and genetic algorithms ［J］. Computer Engineering and Applications, 2006, 46(35): 173-176.
［19］Gao T, Li A, Meng F. Research on data stream clustering based on FCM algorithm［J］. Procedia Computer Science, 2017, 122: 595-602.
［20］Krinidis S, Chatzis V. A robust fuzzy local information C-means clustering algorithm［J］. Image Processing, IEEE Transactions, 2010, 19: 1328-1337.
［21］马平, 司志宁. 基于小波变换的CT/ECT图像融合方法［J］. 计量学报, 2018, 39 (4): 536-540.
Ma P, Si Z N. A Method of CT/ECT Image Fusion Based on Wavelet Transform ［J］. Acta Metrologica Sinica, 2018, 39 (4): 536-540.
［22］Li Y, Cao S, Man Z, et al. Image reconstruction algorithm for electrical capacitance tomography［J］. Information Technology Journal, 2011, 10(8): 269-291.