Characterization of Surface-Breaking Cracks Using One Tangential Component of Magnetic Leakage Field Measurements

Amineh, Reza K.; Nikolova, Natalia K.; Reilly, J.P.; Hare, Jeremy

doi:10.1109/tmag.2008.915592

Cited by 51 publications

(31 citation statements)

References 17 publications

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“…Different lift-off studies also carried out and concluded that the 0.1 mm distance between the specimen and sensor is the optimum lift-off to detect the defect [10] terize the rectangular shape defect on the ferromagnetic material using tangential component of the leakage profile. Normalization of the leakage profile has been carried to compare the numerical and experimental results [11]. COMSOL based numerical studies have been carried out for a magnetizer arrangement with dimension mentioned in this paper to produce the uniform magnetic field on outer wall on the inspected specimen while the probe is placed inside the pipe [12].…”

Section: Introductionmentioning

confidence: 99%

Dipole Model to Predict the Rectangular Defect on Ferromagnetic Pipe

Suresh¹,

Abudhair²

2016

Journal of Magnetics

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Dipole model based analytical expression is proposed to estimate the length and depth of the rectangular defect on ferromagnetic pipe. Among the three leakage profiles of Magnetic Flux Leakage (MFL), radial and axial leakage profiles are considered in this work. Permeability variation of the specimen is ignored by considering the flux density as close to saturation level of the inspected specimen. Comparing the profile of both the components, radial leakage profile furnishes the better estimation of defect parameter. This is evident from the results of error percentage of length and depth of the defect. Normalized pattern of the proposed analytical model radial leakage profile is good agreement with the experimentally obtained profile support the performance of proposed expression.

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Section: Introductionmentioning

confidence: 99%

Dipole Model to Predict the Rectangular Defect on Ferromagnetic Pipe

Suresh¹,

Abudhair²

2016

Journal of Magnetics

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“…In case of MFL testing small magnetic field sensors are required. Besides NDT-applications using SQUID-magnetometer [3,4], Hall-sensors [5], or Fluxgate probes [6], MR sensors (magneto resistance) are applied to detect even small defects with geometries in the μm-range. Especially, giant magneto resistance (GMR) [7,8] and tunnel magneto resistance/magnetic tunnel junction (TMR/MTJ) [9] are used as sensors for NDT.…”

Section: Introductionmentioning

confidence: 99%

Development of adapted GMR-probes for automated detection of hidden defects in thin steel sheets

Pelkner¹,

Pohl²,

Kreutzbruck³

et al. 2016

AIP Conference Proceedings

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“…However, the traditional measurement of 2D magnetic fields cannot accurately characterize natural defects. Regarding this specific subject, Zuoying et al [10], Li et al [11], and Amineh et al [12,13] conducted the measurement of 3D magnetic fields for better characterization. * Correspondence: sadr@iust.ac.ir…”

Section: Introductionmentioning

confidence: 99%

Extracting the region of interest from MFL signals

Sadr¹,

Okhovat²

2016

Turk J Elec Eng & Comp Sci

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Abstract:In this paper, we study the magnetic flux leakage (MFL) signals for detection of defects in ferromagnetic materials. MFL signals consist of a background that is not constant and is combined with noise. Since there are slight variations because of noise, any large distortion shows a defect. Here the estimation of the background and then the determination of a threshold to distinguish defects from noise have been used for locating defects. In this method, precise evaluation of these two parameters has a vital role on the defect detection. The concept of histograms has been employed for eliminating the effect of defects in computing background signal. Results show that this algorithm is fast enough and yields detection of more defects that have lower amplitude. In the next step, an appropriate value for the threshold is determined by considering a trade-off between defect detection rate and noise separation rate.

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Characterization of Surface-Breaking Cracks Using One Tangential Component of Magnetic Leakage Field Measurements

Cited by 51 publications

References 17 publications

Dipole Model to Predict the Rectangular Defect on Ferromagnetic Pipe

Dipole Model to Predict the Rectangular Defect on Ferromagnetic Pipe

Development of adapted GMR-probes for automated detection of hidden defects in thin steel sheets

Extracting the region of interest from MFL signals

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