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author:

Xia, Zihan (Xia, Zihan.) [1] | Hu, Gang (Hu, Gang.) [2] | Huang, Ruochen (Huang, Ruochen.) [3] | Liu, Xiaofei (Liu, Xiaofei.) [4] | Peyton, Anthony (Peyton, Anthony.) [5] | Yin, Wuliang (Yin, Wuliang.) [6] | Yang, Wuqiang (Yang, Wuqiang.) [7]

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EI

Abstract:

The quality of steel balls influences the accuracy, motion performance and service life of the rolling bearing. The eddy-current testing technique plays an important role in the measurement of bearing ball properties, including radius, electrical conductivity and relative magnetic permeability. In this study, an estimation method of bearing ball properties is proposed using the multi-frequency eddy-current testing technique. The estimation method optimizes the least squares problem between the measured and calculated coil inductance spectra through the modified Newton-Raphson algorithm. In addition, the combination of bearing ball properties to be estimated is evaluated by employing sensitivity analysis. The effectiveness of the proposed method has been evaluated by numerical simulation and experiments measuring bearing balls with various properties. © 2023 IEEE.

Keyword:

Eddy current testing Frequency estimation Inverse problems Least squares approximations Magnetic permeability Newton-Raphson method Numerical methods Roller bearings Sensitivity analysis

Community:

  • [ 1 ] [Xia, Zihan]School of Electrical and Electronic Engineering, University of Manchester, Manchester; M13 9PL, United Kingdom
  • [ 2 ] [Hu, Gang]School of Electrical and Electronic Engineering, University of Manchester, Manchester; M13 9PL, United Kingdom
  • [ 3 ] [Huang, Ruochen]School of Electrical and Electronic Engineering, University of Manchester, Manchester; M13 9PL, United Kingdom
  • [ 4 ] [Huang, Ruochen]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 5 ] [Liu, Xiaofei]School of Electrical and Electronic Engineering, University of Manchester, Manchester; M13 9PL, United Kingdom
  • [ 6 ] [Peyton, Anthony]School of Electrical and Electronic Engineering, University of Manchester, Manchester; M13 9PL, United Kingdom
  • [ 7 ] [Yin, Wuliang]School of Electrical and Electronic Engineering, University of Manchester, Manchester; M13 9PL, United Kingdom
  • [ 8 ] [Yang, Wuqiang]School of Electrical and Electronic Engineering, University of Manchester, Manchester; M13 9PL, United Kingdom

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ISSN: 1091-5281

Year: 2023

Volume: 2023-May

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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