[1]付双成,余冰锋,辛佳兴,等.基于偏置交流电磁场检测的管道裂纹内检测方法[J].油气储运,2024,43(09):1-11.
 FU Shuangcheng,YU Bingfeng,XIN Jiaxing,et al.Internal detection method of pipeline crack based on biased alternating current field measurement[J].Oil & Gas Storage and Transportation,2024,43(09):1-11.
点击复制

基于偏置交流电磁场检测的管道裂纹内检测方法

参考文献/References:

[1] 王乐乐,李莉,张斌,孙云峰,冯学书,高山卜.中国油气储运技术现状及发展趋势[J].油气储运,2021,40(9):961-972. DOI:10.6047/j.issn.1000-8241.2021.09.001.
WANG L L, LI L, ZHANG B, SUN Y F, FENG X S, GAO S B. Current status and development trend of oil and gas storage and transportation technologies[J]. Oil & Gas Storage and Transportation, 2021, 40(9): 961-972.
[2] 李佳音,杨理践,郑文学,刘斌.基于平衡电磁技术的钢板表面裂纹深度检测方法[J].仪表技术与传感器,2023(3):104-109. DOI:10.3969/j.issn.1002-1841.2023.03.018.
LI J Y, YANG L J, ZHENG W X, LIU B. Surface crack depth detection method for steel plates based on balanced-field electromagnetic technique[J]. Instrument Technique and Sensor, 2023(3): 104-109.
[3] 冯一璟,张来斌,郑文培,刘海涛.新型交流电磁场检测探头仿真和测试研究[J].中国测试,2022,48(11):113-119. DOI:10.11857/j.issn.1674-5124.2021040095.
FENG Y J, ZHANG L B, ZHENG W P, LIU H T. Simulation and testing of a novel probe based on alternating current field measurement[J]. China Measurement & Test, 2022, 48(11): 113-119.
[4] 辛佳兴,陈金忠,李晓龙,王长新,张雪伟,朱宏武.油气管道内检测技术研究前沿进展[J].石油机械,2022,50(5):119-126. DOI:10.16082/j.cnki.issn.1001-4578.2022.05.016.
XIN J X, CHEN J Z, LI X L, WANG C X, ZHANG X W, ZHU H W. Advances in oil and gas pipeline internal inspection technology[J]. China Petroleum Machinery, 2022, 50(5): 119-126.
[5] 杨理践,耿浩,高松巍.长输油气管道漏磁内检测技术[J].仪器仪表学报,2016,37(8):1736-1746. DOI:10.19650/j.cnki.cjsi.2016.08.005.
YANG L J, GENG H, GAO S W. Magnetic flux leakage internal detection technology of the long distance oil pipeline[J]. Chinese Journal of Scientific Instrument, 2016, 37(8): 1736-1746.
[6] 袁新安,赵建超,李伟,张广泰,李肖.基于ACFM的缺陷可视化检测实验系统设计与测试[J].实验室研究与探索,2021,40(9):76-79. DOI:10.19927/j.cnki.syyt.2021.09.017.
YUAN X A, ZHAO J C, LI W, ZHANG G T, LI X. Design and testing of visual detection system of based on ACFM defects[J]. Research and Exploration in Laboratory, 2021, 40(9): 76-79.
[7] RU G G, GAO B, LIU D, MA Q P, LI H R, WOO W L. Structural coupled electromagnetic sensing of defects diagnostic system[J]. IEEE Transactions on Industrial Electronics, 2023, 70(1): 951-964. DOI: 10.1109/tie.2022.3148755.
[8] YANG C R, GAO B, MA Q P, XIE L, TIAN G Y, YIN Y. Multi-layer magnetic focusing sensor structure for pulsed remote field eddy current[J]. IEEE Sensors Journal, 2019, 19(7): 2490-2499. DOI: 10.1109/jsen.2018.2886816.
[9] GAO B, HE Y Z, WOO W L, TIAN G Y, LIU J, HU Y H. Multidimensional tensor-based inductive thermography with multiple physical fields for offshore wind turbine gear inspection[J]. IEEE Transactions on Industrial Electronics, 2016, 63(10): 6305-6315. DOI: 10.1109/tie.2016.2574987.
[10] XU P, CHEN Y X, LIU L L, LIU B L. Study on high-speed rail defect detection methods based on ECT, MFL testing and ACFM[J]. Measurement, 2023, 206: 112213. DOI: 10.1016/j.measurement.2022.112213.
[11] 李伟,邵鑫宇,张伯莹,袁新安,殷晓康,杨伟超.交流电磁场和电磁超声复合无损检测技术研究[J].机械工程学报,2022,58(16):153-159. DOI:10.3901/JME.2022.16.153.
LI W, SHAO X Y, ZHANG B Y, YUAN X A, YIN X K, YANG W C. Research on composite ACFM and EMAT nondestructive testing technology[J]. Journal of Mechanical Engineering, 2022, 58(16): 153-159.
[12] GUO W, GAO B, TIAN G Y, SI D. Physic perspective fusion of electromagnetic acoustic transducer and pulsed eddy current testing in non-destructive testing system[J]. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2020, 378(2182): 20190608. DOI: 10.1098/rsta.2019.0608.
[13] MISHAKIN V V, KLYUSHNIKOV V A, GONCHAR A V, KACHANOV M. On assessing damage in austenitic steel based on combination of the acoustic and eddy current monitoring[J]. International Journal of Engineering Science, 2019, 135: 17-22. DOI: 10.1016/j.ijengsci.2018.11.001.
[14] CHANG J L, CHU Z Q, GAO X Y, SOLDATOV A I, DONG S X. A magnetoelectric-ultrasonic multimodal system for synchronous NDE of surface and internal defects in metal[J]. Mechanical Systems and Signal Processing, 2023, 183: 109667. DOI: 10.1016/j.ymssp.2022.109667.
[15] 齐洪洋,杨志军,林楠.漏磁检测技术的研究进展[J].化工机械,2021,48(6):810-812,948. DOI:10.3969/j.issn.0254-6094.2021.06.004.
QI H Y, YANG Z J, LIN N. Research progress in magnetic flux leakage testing technology[J]. Chemical Engineering & Machinery, 2021, 48(6): 810-812, 948.
[16] 邱增集,王平,贾银亮.磁化方向对焊缝缺陷漏磁场的影响分析[J].电子测量技术,2022,45(3):25-31. DOI:10.19651/j.cnki.emt.2108117.
QIU Z J, WANG P, JIA Y L. Analysis for MFL signal of weld defects affected by magnetization direction[J]. Electronic Measurement Technology, 2022, 45(3): 25-31.
[17] WANG G, XIAO Q, GAO Z H, LI W H, JIA L, LIANG C, et al. Multifrequency AC magnetic flux leakage testing for the detection of surface and backside defects in thick steel plates[J]. IEEE Magnetics Letters, 2022, 13: 1-5. DOI: 10.1109/LMAG.2022.3142717.
[18] 王景林,任尚坤,张丹,张文君.基于ACFM检测技术的表面裂纹特征评价方法研究[J].中国测试,2019,45(1):40-46. DOI:10.11857/j.issn.1674-5124.2018080018.
WANG J L, REN S K, ZHANG D, ZHANG W J. Research on surface crack feature evaluation method based on ACFM detection technology[J]. China Measurement & Test, 2019, 45(1): 40-46.
[19] FENG Y J, YANG F, ZHANG L B, ZHENG W P, LIU H T. A novel ACFM probe for oil and gas pipe in-line inspection[J]. Energy Reports, 2021, 7(Supplement 7): 1594-1600. DOI: 10.1016/j.egyr.2021.09.064.
[20] ZHAO S X, SUN L S, GAO J Q, WANG J Z, SHEN Y. Uniaxial ACFM detection system for metal crack size estimation using magnetic signature waveform analysis[J]. Measurement, 2020, 164: 108090. DOI: 10.1016/j.measurement.2020.108090.
[21] 辛佳兴,陈金忠,李晓龙,朱宏武,王长新.基于阵列涡流技术的管道变形检测数值分析[J].石油机械,2022,50(2):115-122. DOI:10.16082/j.cnki.issn.1001-4578.2022.02.017.
XIN J X, CHEN J Z, LI X L, ZHU H W, WANG C X. Numerical analysis on pipeline deformation detection based on array vortex technology[J]. China Petroleum Machinery, 2022, 50(2): 115-122.

备注/Memo

基金项目:“十四五”国家重点研发计划“超大口径天然气管道磁电融合内检测技术研究及装备研制”,2022YFC3070102;中国特种设备检测研究院重点项目“油气管道内表面缺陷检测自爬行机器人”,2022重点01;中国特检院青年科技英才项目,KJYC-2023-10。
作者简介:付双成,男,1976年生,教授,2009年博士毕业于中国石油大学(北京)化工过程机械专业,现从事流体流动数值模拟、多相流分离技术与设备、过程装备结构优化等方向的研究工作。地址:江苏省常州市武进区湖塘镇滆湖中路21号,213164。电话:15295086176。Email:fushch711@163.com
作者:辛佳兴,男,1994年生,工程师,2023年博士毕业于中国石油大学(北京)机械工程专业,现从事油气管道在线检测技术方向的研究工作。地址:北京市朝阳区和平西苑2号,100029。电话:18811526276。Email:jiaxingxin_cup@163.com

更新日期/Last Update: 2024-06-28