New method of metal magnetic memory signal measuring and denoising

被引:0
作者
Deng S.J. [1 ]
Chen H.L. [1 ]
Tang L.W. [1 ]
Wang W. [1 ]
机构
[1] Department of Artillery Engineering, Army Engineering University, Shijiazhuang
基金
中国国家自然科学基金;
关键词
Background magnetic field; Life-off value; Measurement noise; Metal magnetic memory; Multi-scale morphological filter; Self-magnetic fields;
D O I
10.23940/ijpe.19.02.p14.497504
中图分类号
学科分类号
摘要
The metal magnetic memory (MMM) technique can be effective in determining the initial damage of materials and structures in service and is partly applied in engineering. However, the real signals measured in engineering practice usually contain interference of the background magnetic field and measurement noise. For the influence of the background magnetic field, we designed a measuring probe constituted by two magnetic sensors that were arranged at different heights in the same vertical direction. Through the channel compensated method, we extracted principal features of the self-magnetic leakage field (SMLF) signal. As for the influence of measurement noise, we built the structure elements combined with the SMLF signal characteristic and investigated multi-scale morphological filtering to reduce the noise. The simulation and experiment results show that the proposed methods can not only suppress the background magnetic field and many kinds of noise but also protect the SMLF signal detail effectively. © 2019 Totem Publisher, Inc. All rights reserved.
引用
收藏
页码:497 / 504
页数:7
相关论文
共 15 条
[1]  
Shi P., Zhang P., Jin K., Thermo-magneto-elastoplastic coupling model of metal magnetic memory testing method for ferromagnetic materials, Journal of Applied Physics, 123, 14, (2018)
[2]  
Chen H.L., Wang C.L., Zuo X.Z., Research on Methods of Defect Classification based on Metal Magnetic Memory, NDT & E International, 99, 1, pp. 82-87, (2017)
[3]  
Dubov A., A Study of Metal Properties using the Method of Magnetic Memory, Metal Science & Heat Treatment, 39, 9, pp. 401-405, (1997)
[4]  
Dubov A., Kolokolnikov S., The metal magnetic memory method application for online monitoring of damage development in steel pipes and welded joints specimens, Welding in The World, 57, 1, pp. 123-136, (2013)
[5]  
Bao S., Fu M., Gu Y., Quantitative characterization of stress concentration of low-carbon steel by metal magnetic memory testing, Materials Evaluation, 75, 3, pp. 397-405, (2017)
[6]  
Liu B., He Y.Y., Zhang H., Study on Characteristics of Magnetic Memory Testing Signal based on the Stress Concentration Field, Iet Science Measurement & Technology, 11, 1, pp. 2-8, (2017)
[7]  
Singh W.S., Stegemann R., Kreutzbruck M., Mapping of Deformation-Induced Magnetic Fields in Carbon Steels using a GMR Sensor based Metal Magnetic Memory Technique, Journal of Nondestructive Evaluation, 37, 2, pp. 21-27, (2018)
[8]  
Arkulis M.B., Baryshnikov M.P., Mishenva N.I., On problems of applicability of the metal magnetic-memory method in testing the stressed-deformed state of metallic constructions, Russian Journal of Nondestructive Testing, 45, 8, pp. 526-528, (2009)
[9]  
Reutov Y.Y., A ferromagnetic disk in a constant axially symmetric inhomogeneous magnetic field, Russian Journal of Nondestructive Testing, 51, 3, pp. 146-150, (2015)
[10]  
Wang H.P., Dong L.H., Dong S.Y., Xu B.S., Fatigue damage evaluation by metal magnetic memory testing, Journal of Central South University, 21, 1, pp. 65-70, (2014)