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
[11]  
Xu M.X., Chen Z.H., Xu M.Q., Micro-mechanism of metal magnetic memory signal variation during fatigue, International Journal of Minerals, Metallurgy and Materials, 21, 3, pp. 259-265, (2014)
[12]  
Yao K., Wang Z.D., Deng B., Experimental research on metal magnetic memory method, Experimental Mechanics, 52, 3, pp. 305-314, (2012)
[13]  
Chou J., Weger R.C., Ligtenberg J.M., Segmentation of Polar Scenes using Multi-Spectral Texture Measures and Morphological Filtering, International Journal of Remote Sensing, 15, 5, pp. 1019-1036, (1994)
[14]  
Li Y., Liang X., Zuo M.J., A new strategy of using a time-varying structure element for mathematical morphological filtering, Measurement, 106, pp. 53-65, (2017)
[15]  
Li Y., Liang X., Lin J., Train Axle Bearing Fault Detection using a Feature Selection Scheme based Multi-Scale Morphological Filter, Mechanical Systems & Signal Processing, 101, pp. 435-448, (2018)