Browse by author
Lookup NU author(s): Professor Gui Yun TianORCiD
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
© 2001-2012 IEEE.The minimal lattice changes caused by thermal ageing present a significant challenge for non-destructive testing. This study proposes the use of a high-frequency resonance eddy current sensor and a multi-physical field fusion method to address this issue. Initially, high-frequency resonance technology is employed, whereby not only is an eddy current secondary magnetic field generated, but also an electric field in the gap between the planar coil and the metal. Therefore, the excitation of a multi-physical field in eddy current sensors has been achieved. Secondly, a probe multi-parameter separation algorithm is proposed. Consequently, the separation of the magnetic and electric fields can be achieved. The results of experiments conducted on 12CrMoV steel demonstrate that the parameter capacitance relating to electric fields is more accurate and linear than the parameters resistance and inductance relating to eddy current secondary magnetic fields. Finally, the multi-parameter and multi-physical field fusion method is discussed in order to enhance the accuracy of thermal ageing characterization. The results of the experiments demonstrate that the fusion characterization method, which combines resistance and capacitance, leads to a significant reduction in error, by as much as 80%, when applied to the characterization of eddy current magnetic fields and gap electric fields.
Author(s): Yang G, Liu D, Zeng K, Liu Z, Cheng J, Zheng Y, Zou D, Zhou J, Liu R, Tian G, Gao B
Publication type: Article
Publication status: Published
Journal: IEEE Sensors Journal
Year: 2025
Volume: 25
Issue: 6
Pages: 10145-10154
Print publication date: 15/03/2025
Online publication date: 03/02/2025
Acceptance date: 02/04/2018
ISSN (print): 1530-437X
ISSN (electronic): 1558-1748
Publisher: Institute of Electrical and Electronics Engineers Inc.
URL: https://doi.org/10.1109/JSEN.2025.3531785
DOI: 10.1109/JSEN.2025.3531785
Altmetrics provided by Altmetric
