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author:

Lan, Yujie (Lan, Yujie.) [1] | Shi, Jianxin (Shi, Jianxin.) [2] | Chen, Qingbin (Chen, Qingbin.) [3]

Indexed by:

EI

Abstract:

The complex permeability of magnetic materials at radio frequencies significantly impacts the electromagnetic compatibility (EMC) characteristics of magnetic components. The precision of its measurement is crucial for the design, selection, and study of EMC properties of magnetic components. This article discusses the key material parameters affecting the radio frequency characteristics of magnetic materials and provides a detailed analysis of how these parameters influence the complex permeability of magnetic materials. It reveals why traditional methods for measuring the complex permeability of magnetic materials are not applicable at high frequencies. This article identifies the parasitic inductance and capacitance in the measurement winding as the primary factors affecting measurement accuracy. Consequently, it proposes a new method for testing the complex permeability of magnetic materials in the radio frequency range, considering the effects of parasitic parameters in the measurement winding. This method effectively combines small-signal measurements with finite element simulation to calibrate parasitic parameters, significantly extending the frequency range of the measurement results. Experimental findings demonstrate that the proposed method accurately extracts the characteristic parameters of magnetic materials in the frequency range from 30 MHz to 1 GHz.(Figure presented.) © 2001-2012 IEEE.

Keyword:

Capacitance measurement Electric windings Ferrites Light interference Magnetic permeability Magnetic permeability measurement Radio interference

Community:

  • [ 1 ] [Lan, Yujie]Fuzhou University, College of Electrical Engineering and Automation, Fuzhou, Fujian; 350108, China
  • [ 2 ] [Shi, Jianxin]Fuzhou University, School of Electrical Engineering and Automation, Fuzhou; 350108, China
  • [ 3 ] [Shi, Jianxin]Future Technology Company Ltd., Hangzhou, Zhejiang; 310000, China
  • [ 4 ] [Chen, Qingbin]Fuzhou University, College of Electrical Engineering and Automation, Fuzhou, Fujian; 350108, China

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Source :

IEEE Sensors Journal

ISSN: 1530-437X

Year: 2024

Issue: 21

Volume: 24

Page: 34714-34723

4 . 3 0 0

JCR@2023

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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