Please wait a minute...
浙江大学学报(工学版)
自动化技术、控制技术     
导电结构亚表面缺陷电涡流/超声复合检测方法
刘半藤, 骆旭伟, 黄平捷, 侯迪波, 张光新
1. 浙江大学 控制科学与工程学院,浙江 杭州 310058;
2.浙江树人大学 信息科技学院,浙江 杭州 310015
Eddy current test/ultrasonic testing integrative method for detecting sub-surface defects in conductive structures
LIU Ban-teng, LUO Xu-wei, HUANG Ping-jie, HOU Di-bo, ZHANG Guang-xin
1. College of Control Science and Engineering, Zhejiang University, Hangzhou 310058, China;
2. College of Information Technology, Zhejiang Shuren University, Hangzhou 310015, China
 全文: PDF(1944 KB)   HTML
摘要:

针对导电结构体亚表面缺陷检测中单一检测方法准确率和检测范围有限等问题,研究电涡流与超声复合无损检测(NDT)方法.为了解决异源传感器复合过程中的证据冲突问题,充分发挥复合检测方法的优势,研究获取电涡流/超声检测基本概率分布、证据权重分配、证据融合以获得准确识别结果的技术,提出基于拟合方差的D-S证据理论的复合检测方法.为了降低拟合误差,防止过拟合,利用基于赤池信息量准则的正态拟合方法获得电涡流检测和超声检测的概率分布,用贝叶斯准则求取后验概率.根据电涡流和超声在检测中的适用性,以拟合方差对证据权重进行优化,利用D-S证据理论对后验概率密度进行融合,获得联合概率密度分布,求取电涡流/超声复合检测结果.

Abstract:

An integrative nondestructive testing (NDT) method based on the eddy current testing (ECT) and ultrasound testing (UT) was analyzed for the problem of limited detection accuracy and range of single detection method for conductive structure subsurface defects inspection. The techniques for calculating the ECT/UT basic probability distribution, the distribution of weights of evidence and the evidence fusion to obtain accurate identification results were investigated in order to solve the problem of heterogeneous evidence confliction and to fully exploit the advantages of individual modality detection method. A data fusion method based on fitting variance optimized D-S evidence theory was proposed. A normal fitting method based on the Akaike information criterion (AIC) was conducted to gain the basic probability distribution curve of ECT/UT data in order to reduce fitting errors and prevent over-fitting problems. The Bayesian criteria were used to calculate the posterior probability according to the applicability of ECT/UT in the detection. The fitting variance was used for evidence weight optimization. The joint probability density distribution was obtained by D-S evidence theory. The ECT/UT integrative test result was calculated.

出版日期: 2017-04-25
CLC:  U 28  
基金资助:

国家自然科学基金资助项目(50505045, 61174005);浙江省教育厅资助项目(Y201432539).

通讯作者: 黄平捷,男,副教授.ORCID: 0000-0002-5487-6097.     E-mail: huangpingjie@zju.edu.cn
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
作者相关文章  

引用本文:

刘半藤, 骆旭伟, 黄平捷, 侯迪波, 张光新. 导电结构亚表面缺陷电涡流/超声复合检测方法[J]. 浙江大学学报(工学版), 10.3785/j.issn.1008-973X.2017.04.007.

LIU Ban-teng, LUO Xu-wei, HUANG Ping-jie, HOU Di-bo, ZHANG Guang-xin. Eddy current test/ultrasonic testing integrative method for detecting sub-surface defects in conductive structures. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 10.3785/j.issn.1008-973X.2017.04.007.

[1] ARJUN V, SASI B. Optimization of pulsed eddy current probe for detection of sub-surface defects in stainless stell plates [J]. Sensors and Actuators, 2015,26(3): 69-75.
[2] BRUDAR B. How to distinguish surface and subsurface cracks using electromagnetic ndt methods [J]. NDT international, 1984, 17(4): 221-223.
[3] 齐勇,李勇,陈振茂.基于GMFM的脉冲涡流检测亚表面腐蚀缺陷成像技术[J].空军工程大学学报:自然科学版,2013, 14(5): 120-125.
QI Yong, LI Yong, CHEN Zhen-mao. Research of pulsed eddy current testing for defect imaging based on gradient magnetic field measurement [J]. Journal of Air Force Engineering University: Natural Science Edition, 2013, 14(5): 120-125.
[4] DIRAISON Y, JOUBERT P Y, PLACKO D. Characterization of subsurface defects in aeronautical riveted lap-joints using multi-frequency eddy current imaging [J]. NDT and E International, 2009, 42(2): 133-140.
[5] JEFFERSON C, PRASHANTH A V. Damage quantification in polymer composites using a hybrid NDT approach [J]. Composites Science and Technology, 2013, 83(5): 11-21.
[6] GRYS S, VOKOROKOS L. Size determination of sub-surface defect by active thermograph-simulation research [J]. Infrared Physics and Technology, 2014, 62(2):147-153.
[7] 张清华.基于超声和涡流的复合式无损检测技术[D].广州:华南理工大学,2010.
ZHANG Qing-hua. Technique of complex NDT based on ultrasonic and eddy current testing [D].Guangzhou: South China University of Technology, 2010.
[8] 李国厚.导电结构涡流/超声检测与评估技术研究[D].杭州:浙江大学,2012.
LI Guo-hou. Study on ECT/UT and evaluation technology of the conductive structures [D]. Hangzhou: Zhejiang University, 2012.
[9] 刘轶,许晓东.基于超声与低频涡流技术的振动筛大梁裂纹检测方法研究[J].煤矿机械,2015(02): 45-51.
LIU Yi, XU Xiao-dong. Study on beam crack detection method for shaker based on ultrasound and low-frequency eddy [J]. Coal Mine Machinery, 2015(02): 45-51.
[10] 陈金贵,黄颖.无缝钢管超声涡流联合探伤方法研究[J].中国设备工程,2013, 1(2): 88-94.
CHEN Jin-gui, HUANG Yin. Research of eddy current and ultrasonic joint inspection for seamless steel pipe [J]. China Plant Engineering, 2013, 1(2):88-94.
[11] HANS M T. Advantage of a combined ultrasonic and eddy current examination for railway inspection trains [C]∥Proceedings of the ECNDT. \[S.l.\]: IEEE, 2006:176-188.
[12] HABIBALAHI A M. Improving pulse eddy current and ultrasonic testing stress measurement accuracyusing neural network data fusion [J]. Science Measurement and Technology, 2015, 9(4): 514-521.
[13] LI G H, HUANG P J, CHENG P H, et al. Application of multi-sensor data fusion in defects evaluation based on DempsterShafer theory [C]∥Instrumentation and Measurement Technology Conference. [S. l.]: IEEE, 2011: 1-5.
[14] LUIS F R, TIAGO M. A Bayesian approach for NDT data fusion: the Saint Torcato church case study [J]. Engineering Structures, 2015, 84(2): 120-129.
[15] LIU J, TIAN G Y, et al. Investigation of thermal imaging sampling frequency for eddy current pulsed thermograph [J]. NDT&E International, 2014, 62(3):85-92.
[16] 阮晴,罗飞路,王鹏.基于BP网络和DS证据理论的超声检测缺陷识别[J].兵工自动化,2011, 30(9):72-76.
RUAN Qing, LUO Fei-lu, WANG Peng. Flaws identification in ultrasonic testing based on BP network and D-S evidence theory [J]. Ordnance Industry Automation, 2011, 30(9): 72-76. [17] 马丽丽,张曼.多传感器集中式增量卡尔曼滤波融合算法[J].计算机工程与应用,2014, 3(11): 229-232.
MA Li-li, ZHNAG Man. Multi-sensor centralized incremental Kalman filtering fusion algorithm [J]. Computer Engineering and Applications, 2014, 3(11):229-232.
[18] YUE S, WU T. Fuzzy clustering based ET image fusion [J]. Information Fusion, 2013,14(7): 487-497.
[19] BALAKRISHNAN S, CACCIOLA M. Development of image fusion methodology using discrete wavelet transform for eddy current images [J]. NDT and E International, 2012, 51(12): 51-57.
[20] EDWARDS R S,SOPHINB A, DIXONA S, et al. Data fusion for defect characterizations using a dual probe system [J]. Sensors and Actuators A: Physical, 2007, 31(14): 222-228.
[21] 刘璋温.赤池信息量准则AIC及其意义[J].数学的实践与认识,1980,3: 65-73.
LIU Zhang-wen. Akaike information criterion AIC and its significance [J]. Mathematics in Practice and Theory, 1980, 3: 65-73.
[22] HORN D, MAYO M R. NDE reliability gains from combining eddy-current and ultrasonic testing [J]. NDT and E International, 2010, 21(33): 351-362.

[1] 赵凌, 黄平捷, 刘宝玲, 赵树浩, 侯迪波, 张光新. 多层导电结构内部状态脉冲涡流检测分析方法[J]. 浙江大学学报(工学版), 2016, 50(4): 603-608.
[2] 孙斌,冯庆坤, 金心宇, 吴端坡. 高铁环境中满意通信概率模型及切换算法研究[J]. J4, 2012, 46(9): 1553-1559.
[3] 李国厚,黄平捷,陈佩华,侯迪波,张光新,周泽魁. 涡流检测在钢轨裂纹定量化评估中的应用[J]. J4, 2011, 45(11): 2038-2042.