基于磁记忆梯度张量信号的缺陷二维反演研究

doi:10.3969/j.issn.1000-1093.2017.05.020

兵工学报 ›› 2017, Vol. 38 ›› Issue (5): 995-1001.doi: 10.3969/j.issn.1000-1093.2017.05.020

基于磁记忆梯度张量信号的缺陷二维反演研究

陈海龙，王长龙，左宪章，朱红运

（军械工程学院无人机工程系，河北石家庄 050003）

收稿日期:2016-08-30 修回日期:2016-08-30 上线日期:2017-07-03
通讯作者: 王长龙(1965—)，男，教授，博士生导师 E-mail:wang-oec@126.com
作者简介:陈海龙(1989—)，男，博士研究生。 E-mail: chenhailong151@163.com
基金资助:
河北省自然科学基金项目（E2015506004）

Research on Defect 2-D Inversion Based on Gradient Tensor Signals of Metal Magnetic Memory

CHEN Hai-long， WANG Chang-long， ZUO Xian-zhang， ZHU Hong-yun

(Department of Unmanned Aerial Vehicles Engineering, Ordnance Engineering College, Shijiazhuang 050003, Hebei, China)

Received:2016-08-30 Revised:2016-08-30 Online:2017-07-03

摘要/Abstract

摘要： 金属磁记忆检测技术是一种能对铁磁材料早期微观损伤及应力集中进行有效诊断的无损检测方法，针对二维反演方法难以准确得到缺陷分布的问题，提出了磁记忆梯度张量分析方法。分析磁梯度张量的测量要素，设计了磁记忆梯度张量信号测量方案；将磁记忆信号水平梯度模量作为缺陷边界反演的特征量，通过水平梯度模量的极大值位置来确定缺陷的边界及分布。裂纹二维反演实验结果表明，该方法不受检测方向影响，可对缺陷二维分布进行准确反演。

关键词: 电磁学, 金属磁记忆, 磁梯度张量, 水平梯度模量, 二维反演

Abstract: Metal magnetic memory (MMM) technology is a nondestructive detection method which is used for early diagnosis of microscopic damage and stress concentration. Since the defect profile is difficult to reconstructed by the existing methods, an analysis method based on magnetic gradient tensor is proposed. A magnetic gradient tensor measuring method is designed based on the analysis of measuring essential factors of magnetic gradient tensor, and a characteristic parameter of horizontal gradient modulus is used to estimate the damage location and boundary by horizontal gradient modulus maximum value. The experimental results of crack 2-D inversion show that the proposed method based on magnetic gradient tensor is not influenced by detection direction, and it is an effective and feasible approach for damage two-dimensional inversion. Key

Key words: electromagnetics, metalmagneticmemory, magneticgradienttensor, magnetictotalhorizontalgradientmodulus, two-dimensionalinversion

中图分类号:

TG115.27

陈海龙，王长龙，左宪章，朱红运. 基于磁记忆梯度张量信号的缺陷二维反演研究[J]. 兵工学报, 2017, 38(5): 995-1001.

CHEN Hai-long， WANG Chang-long， ZUO Xian-zhang， ZHU Hong-yun. Research on Defect 2-D Inversion Based on Gradient Tensor Signals of Metal Magnetic Memory[J]. Acta Armamentarii, 2017, 38(5): 995-1001.

参考文献

［1］苑希超, 王长龙, 王建斌. 基于贝叶斯估计的漏磁缺陷轮廓重构方法研究[J]. 兵工学报, 2012, 33(1):116-120.
YUAN Xi-chao, WANG Chang-long, WANG Jian-bin. Defect profile reconstruction from magnetic flux leakage signals based on Bayesian estimation[J]. Acta Armamentarii, 2012, 33(1):116- 120.(in Chinese)
[2] 徐超, 王长龙, 孙世宇, 等. 双小波神经网络迭代的漏磁缺陷轮廓重构技术[J]. 兵工学报, 2012, 33(6):730-735.
XU Chao, WANG Chang-long, SUN Shi-yu, et al. Magnetic flux leakage defect reconstruction method based oil wavelet neurai network iteration[J]. Acta Armamentarii, 2012, 33(6):730-735.(in Chinese)
[3] Doubov A A. Development of a metal magnetic memory method[J]. Chemical and Petroleum Engineering, 2011, 47(11/12):837-839.
[4] 蹇兴亮, 周克印. 基于磁场梯度测量的磁记忆试验[J]. 机械工程学报, 2010, 46(4):15-21.
JIAN Xing-liang, ZHOU Ke-yin. Magnetic memory experiment based on magnetic gradient measurement[J]. Journal of Mechanical Engineering, 2010, 46(4):15-21.(in Chinese)

[5] 徐明秀, 尤天庆, 徐敏强, 等. 磁记忆信号的量化描述[J].中南大学学报:自然科学版, 2015, 46(4):1215-1223.
XU Ming-xiu, YOU Tian-qing, XU Min-qiang, et al. Quantitative representation of magnetic memory signal[J]. Journal of Central South University:Science and Technology, 2015, 46(4):1215-1223.(in Chinese)
[6] 张静, 樊建春, 王培玺, 等. 套管损伤磁记忆检测信号的量化识别方法[J]. 石油机械, 2012, 40(8):24-28.
ZHANG Jing, FAN Jian-chun, WANG Pei-xi, et al. Quantitative identification method for magnetic memory detection signal of casing damage[J]. China Petroleum Machinery, 2012, 40(8):24-28. (in Chinese)
[7] 姚凯. 基于金属磁记忆法的铁磁材料早期损伤检测与评价的实验研究[D]. 北京:北京交通大学, 2014:120-125.
YAO Kai. Experimental research on testing and evaluation of early damage of ferromagnetic materials based on metal magnetic memory method[D]. Beijing:Beijing Jiaotong University, 2014:120-125.(in Chinese)
[8] 于振涛, 吕俊伟, 毕波, 等. 四面体磁梯度张量系统的载体磁干扰补偿方法[J]. 物理学报, 2011, 63(11):1-5.
YU Zhen-tao, LYU Jun-wei, BI Bo, et al. A vehicle magnetic noise compensation method for the tetrahedron magnetic gradiometer[J]. Acta Physica Sinica, 2011, 63(11):1-5.(in Chinese)
[9] Marechal L, Foong S, Ding S Y, et al. Optimal spatial design of non-invasive magnetic field-based localization systems[C]∥2014 IEEE International Conference on Robotics and Automation. Hong Kong, China:IEEE, 2014:3510-3516.
[10] 陈海龙, 王长龙, 朱红运. 基于磁梯度张量的金属磁记忆检测方法[J]. 仪器仪表学报, 2016, 37(3):602-609.
CHEN Hai-long, WANG Chang-long, ZHU Hong-yun. Method of magnetic memory testing based on magnetic gradient tensor[J]. Chinese Journal of Scientific Instrument, 2016, 37(3):602-609.(in Chinese)
[11] 江胜华, 申宇, 褚玉程. 基于磁偶极子的磁场梯度张量缩并的试验验证及相关参数确定[J]. 中国惯性技术学报, 2015, 23(1): 103-106, 114.
JIANG Sheng-hua, SHEN Yu, CHU Yu-cheng. Experimental verification and related parameter's determination for magnetic gradient tensor contraction using magnetic dipole[J]. Journal of Chinese Inertial Technology, 2015, 23(1): 103-106, 114.(in Chinese)
[12] 姚凯, 王正道, 邓博, 等. 金属磁记忆技术的数值研究[J]. 工程力学, 2011, 28(9):218-222.
YAO Kai, WANG Zheng-dao, DENG Bo, et al. Numerical study on metal magnetic memory technique[J]. Engineering Mechanics, 2011, 28(9):218-222.(in Chinese)
[13] 张卫民, 邱忠超, 袁俊杰, 等. 关于利用金属磁记忆方法进行应力定量化评价问题的讨论[J]. 机械工程学报, 2015, 51(8):9-13.
ZHANG Wei-min, QIU Zhong-chao, YUAN Jun-jie, et al. Discussion on stress quantitative evaluation using metal magnetic memory method[J]. Journal of Mechanical Engineering, 2015, 51(8):9-13. (in Chinese)
[14] 王万银. 位场解析信号振幅极值位置空间变化规律研究[J]. 地球物理学报, 2012, 55(4):1288-1299.
WANG Wan-yin. Spatial variation law of the extreme value position of analytic signal amplitude for potential field data[J]. Chinese Journal of Geophysics, 2012, 55(4):1288-1299.(in Chinese)
[15] 吴星, 王凯, 冯炜, 等. 基于非全张量卫星重力梯度数据的张量不变量法[J]. 地球物理学报, 2011, 54(4):966-976.
WU Xing, WANG Kai, FENG Wei, et al. Method of tensor invariant based on non-full tensor satellite gravity gradients[J]. Chinese Journal of Geophysics, 2011, 54(4):966-976.(in Chinese)
[16] 袁园. 全张量重力梯度数据的综合分析与处理解释[D]. 长春:吉林大学, 2015:8-9.
YUAN Yuan.Comprehensive analysis, processing and interpretation of the full tensor gravity gradient data[D]. Changchun:Jilin University, 2015:8-9.(in Chinese)

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基于磁记忆梯度张量信号的缺陷二维反演研究

Research on Defect 2-D Inversion Based on Gradient Tensor Signals of Metal Magnetic Memory

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