Abstract：Defect magnetic flux leakage (MFL) imaging technology has been a hot research topic in the field of nondestructive testing technology. It is also an important means of defect detection and evaluation for ferromagnetic component. This paper summarized these techniques in detail from three stages of defect MFL imaging development: defect of leakage magnetic field imaging, defect outline of 2-D MFL imaging, and defect of the 3-D MFL imaging. The commonly used MFL imaging methods in different stages were introduced. Furthermore, the research directions and development trends of defect MFL imaging technology have been discussed.
[1] Romero R A, Mason J S D, Pearson N. Experimental study to differentiate between top and bottom defects for MFL tank floor inspections[J]. NDT&E Inter- national, 2009, 42(1): 16-21. [2] Wang Shen, Huang Songling, Zhao Wei. Data acquisition and analysis system for a magnetic flux leakage tank floor corrosion scanner[J]. Journal of Tsinghua University (Science and Technology), 2008, 48(1): 20-23. [3] Kasai N, Sekine K, Maruyama H. Non-destructive evaluation method for far-side corrosion type flaws in oil storage tank bottom floors using the magnetic flux leakage technique[J]. Journal of the Japan Petroleum Institute, 2003, 46(2): 126-132. [4] Nara T, Fujieda M, Gotoh Y. Non-destructive inspe- ction of ferromagnetic pipes based on the discrete Fourier coefficients of magnetic flux leakage[J]. Journal of Applied Physics, 2014, 115(17): 509-512. [5] Ivanov P A, Zhang Z, Yeoh C H. Magnetic flux leakage modeling for mechanical damage in trans- mission pipelines[J]. IEEE Transactions on Magne- tics, 1998, 34(5): 3020-3023. [6] 杜志叶, 阮江军, 余世峰, 等. Hilbert变换在钢管漏磁检测缺陷定量化识别中的应用[J]. 电工技术学报, 2007, 22(1): 17-21. Du Zhiye, Ruan Jiangjun, Yu Shifeng, et al. Quantitative analysis of magnetic flux leakage signal for steel pipe defects using Hilbert transform[J]. Transactions of China Electrotechnical Society, 2007, 22(1): 17-21. [7] Lei Huaming, Tian Guiyun. Broken wire detection in coated steel belts using the magnetic flux leakage method[J]. Insight, 2013, 55(3): 126-131. [8] Park S, Kim J W, Nam M J, et al. Magnetic flux leakage sensing-based steel cable NDE technique incorporated on a cable climbing robot for bridge structures[J]. Advances in Science and Technology, 2013, 83: 217-222. [9] Cao Y N, Zhang D L, Wang C, et al. A novel electromagnetic method for local defects inspection of wire rope[C]//TENCON 2006 IEEE Region 10th Conference, Hong Kong, China, 2006: 1-4. [10] 曹丽娜, 李健, 陈世利, 等. 管道漏磁检测数据图形化显示的研究[J]. 电子测量技术, 2007, 30(2): 162-164. Cao Lina, Li Jian, Chen Shili, et al. Study on image display for pipeline magnetic flux leakage data processing[J]. Electronic Measurement Technology, 2007, 30(2): 162-164. [11] 崔巍, 戴光, 龙飞飞, 等. 钢板对接焊缝漏磁检测可视化方法[J]. 无损检测, 2013, 35(5): 8-11. Cui Wei, Dai Guang, Long Feifei, et al. Visualization method for the steel plate butt weld based on magnetic flux leakage testing[J]. Nondestructive Testing, 2013, 35(5): 8-11. [12] 彭丽莎, 王珅, 刘欢, 等. 漏磁图像的改进灰度级—彩色变换法[J]. 清华大学学报（自然科学版）, 2015, 55(5): 592-596. Peng Lisha, Wang Shen, Liu Huan, et al. The appli- cation of improved gray-color transform technique in MFL image[J]. Journal of Tsinghua University (Science and Technology), 2015, 55(5): 592-596. [13] 宋小春, 黄松岭, 赵伟. 储罐底板缺陷自动定位与可视化方法研究[J]. 工程图学学报, 2007, 28(3): 145-149. Song Xiaochun, Huang Songling, Zhao Wei. Methods of flaws location and visualization for tank floors inspection[J]. Journal of Engineering Graphics, 2007, 28(3): 145-149. [14] Kandroodi M R, Araabi B N, Ahmadababi M N, et al. Detection of natural gas pipeline defects using magnetic flux leakage measurements[C]//Iranian Conference on Electrical Engineering (ICEE), Mashhad, Iran, 2013: 1-6. [15] Kincaid T, Chari M. The application of finite element method analysis to eddy current nondestructive evaluation[J]. IEEE Transactions on Magnetics, 1979, 15(6): 1956-1960. [16] Hwang J H, Lord W. Finite element analysis of the magnetic field distribution inside a rotating ferro- magnetic bar[J]. IEEE Transactions on Magnetics, 1974, 10(4): 1113-1118. [17] Palanisamy R, Lord W. Finite element modeling of electromagnetic NDT phenomena[J]. IEEE Transa- ctions on Magnetics, 1979, 15(6): 1479-1781. [18] Katoh M, Mukae S, Nishio K, et al. Simulation for estimating breadth and depth of defect in magnetic leakage flux testing method[J]. Nondestructive Inspe- ction, 1984, 33(2): 59-64. [19] Mukae S, Katoh M, Nishio K, et al. Investigation on quantitization of defect and effect of factors affecting leakage flux density in magnetic leakage flux testing method[J]. Nondestructive Inspection, 1988, 37(4): 885-892. [20] Uetake I, Ito H. Lift-off effect and its application to the defect size estimation in the magnetic leakage- flux method[J]. Transactions of National Research Institute for Metals, 1986, 28(2): 177-187. [21] 陈俊杰. 油气管道漏磁检测缺陷三维轮廓反演方法研究[D]. 北京: 清华大学, 2015. [22] 崔巍, 戴光, 李伟, 等. 基于漏磁成像的焊缝缺陷检测可视化方法研究[J]. 现代制造工程, 2014(2): 109-114. Cui Wei, Dai Guang, Li Wei, et al. The research on visualization method of the weld defect detection based on magnetic flux leakage imaging[J]. Modern Manufacturing Engineering, 2014(2): 109-114. [23] Ravan M, Amineh R K, Koziel S, et al. Sizing of multiple cracks using magnetic flux leakage measure- ments[J]. Science, Measurement & Technology, IET, 2010, 4(1): 1-11. [24] 王丽婕, 冬雷, 高爽. 基于多位置NWP与主成分分析的风电功率短期预测[J]. 电工技术学报, 2015, 30(5): 79-84. Wang Lijie, Dong Lei, Gao Shuang. Wind power short-term prediction based on principal component analysis of NWP of multiple locations[J]. Transa- ctions of China Electrotechnical Society, 2015, 30(5): 79-84. [25] 蒋奇. 管道缺陷检测与外形量化研究[J]. 电子测量与仪器学报, 2005, 19(4): 64-67. Jiang Qi. Inspection of pipeline defect and quanti- tative study on defect dimensions[J]. Journal of Elec- tronic Measurement and Instrument, 2005, 19(4): 64-67. [26] Hui M K, Gwan S P. A study on the estimation of the shapes of axially oriented cracks in CMFL type NDT system[J]. IEEE Transactions on Magnetics, 2014, 50(2): 504-507. [27] Liu Xinmeng, Huang Songling, Zhao Wei, et al. Slowly varying defects reconstruction from MFL signals using BP neural network based on bayesian algorithm[C]//The 10th European Conference on Magnetic Sensors and Actuators, Vienna, Austria, 2014: 1-4. [28] 崔伟, 黄松岭, 赵伟. 基于RBF网络的漏磁检测缺陷定量分析方法[J]. 清华大学学报(自然科学版), 2006, 46(7): 1216-1218. Cui Wei, Huang Songling, Zhao Wei. Quantitative analysis method for MFL testing for oil and gas pipelines based on RBF neutral network[J]. Journal of Tsinghua University (Science and Technology), 2006, 46(7): 1216-1218. [29] Tikaria M, Nema S. Wavelet neural network based intelligent system for oil pipeline defect characteri- zation[C]//2010 International Conference on Emerging Trends in Engineering and Technology (ICETET), Goa, India, 2010: 42-47. [30] Jin Tao, Que Peiwen. A novel signal processing and defect recognition method based on multi-sensor inspection system[C]//2010 International Conference on Computer and Communication Technologies in Agriculture Engineering, Chengdu, China, 2010, 2: 435-438. [31] 王瑜, 苑津莎, 尚海昆, 等. 组合核支持向量机在放电模式识别中的优化策略[J]. 电工技术学报, 2015, 30(2): 229-236. Wang Yu, Yuan Jinsha, Shang Haikun, et al. Optimization strategy research on combined-kernel support vector machine for partial discharge pattern recognition[J]. Transactions of China Electro- technical Society, 2015, 30(2): 229-236. [32] Amineh R K, Koziel S, Nikolova N K, et al. A space mapping methodology for defect characterization from magnetic flux leakage measurements[J]. IEEE Transactions on Magnetics, 2008, 44(8): 2058-2065. [33] Ramuhalli P, Udpa L, Udpa S S, Neural network- based inversion algorithms in magnetic flux leakage nondestructive evaluation[J]. Journal of Applied Physics, 2003, 93(10): 8274-8276. [34] Yue L, Udpa L, Udpa S S. Three-dimensional defect reconstruction from eddy-current NDE signals using a genetic local search algorithm[J]. IEEE Transa- ctions on Magnetics, 2004, 40(2): 410-417. [35] Joshi A V, Udpa L, Udpa S S, et al. Adaptive wavelets for characterizing magnetic flux leakage signals from pipeline inspection[J]. IEEE Transa- ctions on Magnetics, 2006, 42(10): 3168-3170. [36] 崔伟. 油气长输管道腐蚀缺陷漏磁检测量化方法研究[D]. 北京: 清华大学, 2006. [37] 王司令, 宋保维, 段桂林. 某型AUV对转电机子群协同多目标粒子群优化[J]. 电工技术学报, 2015, 30(5): 135-141. Wang Siling, Song Baowei, Duan Guilin. Optimi- zation design of an AUV’s motor with counter- rotating rotors based on the collaborative multi- objective particle swarm algorithm[J]. Transactions of China Electrotechnical Society, 2015, 30(5): 135-141. [38] Chen Junjie, Huang Songling, Zhao Wei. Equivalent MFL model of pipelines for 3-D defect reconstruction using simulated annealing inversion procedure[J]. International Journal of Applied Electromagnetics and Mechanics, 2015, 47(2): 551-561. [39] Han Wenhua, Que Peiwen. Defect reconstruction from MFL signals using improved genetic local search algorithm[C]//IEEE International Conference on Industrial Technology, Hong Kong, China, 2005: 1438-1443. [40] Minkov D, Shoji T. Method for sizing of 3-D surface breaking flaws by leakage flux[J]. NDT & E Inter- national, 1998, 31(5): 317-324. [41] Minkov D, Shoji T. Sizing of 3-D surface breaking flaws from the distribution of leakage field[J]. Nondestructive Characterization of Materials VIII, 1998: 787-792. [42] 毕大伟. 管道漏磁检测成像技术的研究[D]. 沈阳: 沈阳工业大学, 2009. [43] Amineh R K, Nikolova N K, Reilly J P, et al. Characterization of surface-breaking cracks using one tangential component of magnetic leakage field measurements[J]. IEEE Transactions on Magnetics, 2008, 44(4): 516-524. [44] Hui M K, Gwan S P. A study on the estimation of the shapes of axially oriented cracks in CMFL type NDT system[J]. IEEE Transactions on Magnetics, 2014, 50(2): 109-112. [45] 邱忠超, 张卫民, 杨秀江. 基于模块组合式阵列的三维漏磁检测系统[J]. 仪表技术与传感器, 2015(7): 10-13. Qiu Zhongchao, Zhang Weiming,, Yang Xiujiang. 3D weak magnetic signals detecting system based on module combination array[J]. Instrument Technique and Sensor, 2015(7): 10-13. [46] Hui M K, Yong W R, Hui R Y, et al. Defect estimation of a crack in underground pipelines by CMFL type NDT system[C]//International Con- ference on Electrical Machines and Systems, Busan, Korea, 2013: 725-728. [47] Dutta S M, Ghorbel F H, Stanley R K. Simulation and analysis of 3-D magnetic flux leakage[J]. IEEE Transactions on Magnetics, 2009, 45(4): 1966-1972. [48] 徐超, 王长龙, 绳慧, 等. 三维磁场计算的有限元神经网络模型[J]. 电工技术学报, 2012, 27(11): 125-132. Xu Chao, Wang Changlong, Sheng Hui, et al. FENN model for 3-D magnetic field calculation[J]. Transa- ctions of China Electrotechnical Society, 2012, 27(11): 125-132. [49] Priewald R H, Magele C, Ledger P D, et al. Fast magnetic flux leakage signal inversion for the reconstruction of arbitrary defect profiles in steel using finite elements[J]. IEEE Transactions on Magnetics, 2013, 49(1): 506-516. [50] 刘烨贝. 石油管道缺陷智能识别与三维重构技术研究[D]. 哈尔滨: 哈尔滨工程大学, 2013. [51] 宋小春, 赵大兴, 钟毓宁. 基于漏磁检测数据的缺陷三维重构技术[J]. 中国机械工程, 2008, 19(8): 905-908. Song Xiaochun, Zhao Daxing, Zhong Yuning. 3D reconstruction technology of the MFL inspection data[J]. China Mechanical Engineering, 2008, 19(8): 905-908. [52] Xu Chao, Wang Changlong, Ji Fengzhu, et al. Finite-element neural network-based solving 3-D differential equations in MFL[J]. IEEE Transactions on Magnetics, 2012, 48(12): 4747-4756. [53] Ravan M, Amineh R K, Koziel S, et al. Sizing of 3-D arbitrary defects using magnetic flux leakage measurements[J]. IEEE Transactions on Magnetics, 2010, 46(4): 1024-1033. [54] Chen Junjie, Huang Songling, Zhao Wei. Three- dimensional defect reconstruction from magnetic flux leakage signals in pipeline inspection based on a dynamic taboo search procedure[J]. Insight, 2014, 56(10): 535-540. [55] Chen Junjie, Huang Songling, Zhao Wei. Equivalent MFL model of pipelines for 3-D defect reconstruction using simulated annealing inversion procedure[J]. International Journal of Applied Electromagnetics and Mechanics, 2015, 47(2): 551-561. [56] 张逸, 林焱, 吴丹岳. 电能质量监测系统研究现状及发展趋势[J]. 电力系统保护与控制, 2015, 43(2): 138-147. Zhang Yi, Lin Yan, Wu Danyue. Current status and development trend of power quality monitoring system[J]. Power System Protection and Control, 2015, 43(2): 138-147.
2016, Vol. 31 
