Yield Strength Testing Method of Ferromagnetic Materials Based on Pulsed Eddy Current

被引:2
|
作者
Li K. [1 ]
Gao W. [1 ]
Wang P. [1 ]
Zhang Y. [1 ]
Hang C. [1 ]
机构
[1] College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing
关键词
Eddy current testing; Feature fusion; Ferromagnetic materials; Neural network; Yield strength;
D O I
10.3969/j.issn.1004-132X.2019.018.001
中图分类号
学科分类号
摘要
Yield strength detection of ferromagnetic materials in iron and steel industries relied on loss detection, which greatly increased the cost of testing. So, a multi-feature fusion method for yield strength pulsed eddy current testing of ferromagnetic materials was proposed herein. Firstly, the time domain characteristics and frequency domain characteristics of pulsed eddy current response signals were extracted. And then, a neural network model for establishing the yield strength of each signal characteristic and material was established. Finally, the neural network model was used to predict the yield strength of the materials. As a non-destructive testing method, the method may achieve prediction errors less than 5%. © 2019, China Mechanical Engineering Magazine Office. All right reserved.
引用
收藏
页码:2143 / 2149
页数:6
相关论文
共 15 条
  • [1] Li J., Wu X., Zhang Q., Et al., Pulsed Eddy Current Testing of Ferromagnetic Specimen Based on Variable Pulse Width Excitation, NDT & E International, 69, 1, pp. 28-34, (2015)
  • [2] Huang C., Wu X., Xu Z., Et al., Pulsed Eddy Current Signal Processing Method for Signal Denoising in Ferromagnetic Plate Testing, NDT & E International, 43, 7, pp. 648-653, (2010)
  • [3] Cheng W., Pulsed Eddy Current Testing of Carbon Steel Pipes' Wall-thinning through Insulation and Cladding, Journal of Nondestructive Evaluation, 31, 3, pp. 215-224, (2012)
  • [4] Xu Z., Wu X., Huang C., Et al., Analysis of Excitation Current Parameters in Pulsed Eddy Current Testing for Ferromagnetic Metallic Materials, International Journal of Applied Electromagnetics & Mechanics, 39, 1-4, pp. 213-219, (2012)
  • [5] Xu Z., Pulsed Eddy Current Response to a Ferromagnetic Specimen with Finite Thickness, Journal of Huazhong University of Science & Technology, 39, 6, pp. 91-95, (2011)
  • [6] Xu Z., Wu X., Li J., Et al., Assessment of Wall Thinning in Insulated Ferromagnetic Pipes Using the Time-to-peak of Differential Pulsed Eddy-current Testing Signals, NDT & E International, 51, 10, pp. 24-29, (2012)
  • [7] Liu B., Huang P., Hou D., Et al., Application of Hilbert-Huang Transform for Defect Recognition in Pulsed Eddy Current Testing, Nondestructive Testing & Evaluation, 30, 3, pp. 4273-4281, (2015)
  • [8] Liu B., Huang P., Zeng X., Et al., Hidden Defect Recognition Based on the Improved Ensemble Empirical Decomposition Method and Pulsed Eddy Current Testing, NDT & E International, 86, 3, pp. 175-185, (2017)
  • [9] Chen H., An Improved Ferromagnetic Material PEC Testing Signal Processing Method Based on Numerical Cumulative Integration, NDT & E International, 69, 1, pp. 35-39, (2015)
  • [10] Fan M., Cao B., Sunny A.I., Et al., Pulsed Eddy Current Thickness Measurement Using Phase Features Immune to Liftoff Effect, NDT & E International, 86, 3, pp. 123-131, (2017)