Applied Sciences (Feb 2022)

A Filtering Method for Suppressing the Lift-Off Interference in Magnetic Flux Leakage Detection of Rail Head Surface Defect

  • Yinliang Jia,
  • Yichen Lu,
  • Longhui Xiong,
  • Yuhua Zhang,
  • Ping Wang,
  • Huangjian Zhou

DOI
https://doi.org/10.3390/app12031740
Journal volume & issue
Vol. 12, no. 3
p. 1740

Abstract

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Magnetic flux leakage (MFL) detection is a common nondestructive detection method which is usually used to detect the surface defects of steel pipes and rails. To suppress the interference of lift-off on the detection signal of the defects in rail head surfaces, a filtering method is proposed according to the distribution characteristics of the defect leakage magnetic field (LMF) in different directions. The sensor array is used to confirm the reference signal according to the difference between the signals in x and z directions. The installation mode of the sensors is deduced according to the distribution of the defect LMF. The experimental results show that this method can effectively suppress the lift-off interference in the MFL signal of the defects in the rail head surfaces.

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