Influence of Specimen Velocity on the Leakage Signal in Magnetic Flux Leakage Type Nondestructive Testing

Zhang, Lintao; Belblidia, Fawzi; Cameron, Ian; Sienz, Johann; Boat, Matthew; Pearson, Neil

doi:10.1007/s10921-015-0280-1

Cited by 17 publications

(10 citation statements)

References 11 publications

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“…As an emphasis on the effect of speed on MFL measurements, Figure 7 shows a recent study that attempts to optimize the capture of defect-induced MFL as the tool moves at different speeds relative to the pipe wall. 50 External factors such as residual magnetism in the pipe wall, the pipe material, and the pipe pressure also affect the MFL readings. The strength of the applied magnetic field should also be adjusted based on the pipe wall, with thick walls requiring stronger fields in order to reach full saturation.…”

Section: Electrical Phenomenamentioning

confidence: 99%

See 1 more Smart Citation

Inspection and monitoring systems subsea pipelines: A review paper

El-Borgi

Patil

et al. 2019

Structural Health Monitoring

140

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One of the largest movers of the world economy is the oil and gas industry. The industry generates billions of barrels of oil to match more than half the world’s energy demands. Production of energy products at such a massive scale is supported by the equally massive oil and gas infrastructure sprawling around the globe. Especially characteristic of the industry are vast networks of pipelines that traverse tens of thousands of miles of land and sea to carry oil and gas from the deepest parts of the earth to faraway destinations. With such lengths come increased chances for damage, which can have disastrous consequences owing to the hazardous substances typically carried by pipelines. Subsea pipelines in particular face increased risk due to the typically harsher environments, the difficulty of accessing deepwater pipelines, and the possibility of sea currents spreading leaked oil across a wide area. The opportunity for research and engineering to overcome the challenge of subsea inspection and monitoring is tremendous and the progress in this area is continuously generating exciting new developments that may have far reaching benefits far outside of subsea pipeline inspection and monitoring. Thus, this review covers the most often used subsea inspection and monitoring technologies as well as their most recent developments and future trends.

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Section: Electrical Phenomenamentioning

confidence: 99%

Section: Sensing Strategies For Subsea Pipeline Shmmentioning

confidence: 99%

Inspection and monitoring systems subsea pipelines: A review paper

El-Borgi

Patil

et al. 2019

Structural Health Monitoring

140

View full text Add to dashboard Cite

show abstract

“…One can define two different approaches to solve this problem. First approach involves optimization of an MFL tool in order to minimize the velocity influence on the MFL signal [11]. Second approach is based on post-processing and transformation of the signal to its stationary form.…”

Section: Introductionmentioning

confidence: 99%

Reduction of the Velocity Impact on the Magnetic Flux Leakage Signal

2019

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The velocity effect on the magnetic flux leakage (MFL) signal was investigated in this paper. Experiments were performed for velocity of the MFL tool within the range of 0-2 m/s. The velocity was not constant during each measurement to imitate real operational conditions of the MFL tool. Two components of the leakage were measured, i.e. the tangential to the motion direction (x) and the normal to the investigated surface (z). In addition to them, the gradient of the normal component in x direction was measured with the use of two adjacent sensors. The normal component was found to be the most sensitive to the velocity effect. It was shown that the baseline value of the normal component is proportional to the velocity. An empirical compensation scheme was formulated, and it was used to minimize distortions of the normal component caused by the velocity effect. The finite element method was used to study the distribution of velocity-induced eddy currents in the investigated plate. It was stated that eddy currents generated below the poles lead to a change of plate magnetization as well as to a change of magnetic field distribution above the top surface of the plate, what is observed as a shift of the MFL signal baselines.

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“…It has been reported that signals obtained for the aforementioned components are distorted by the scanning velocity [2][3][4]. As a result, an estimation of flaw dimensions is less accurate.…”

Section: Introductionmentioning

confidence: 99%

“…Most of them are based on a proper signal processing leading to restoration of the static form of the signal [4][5][6]. Other method assumes optimization of an MFL tool design in order to minimize the velocity impact [3]. In this work, another approach was proposed.…”

Section: Introductionmentioning

confidence: 99%

Magnetic field gradient as the most useful signal for detection of flaws using MFL technique

Usarek

Chmielewski

Piotrowski

2018

Journal of Electrical Engineering

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The magnetic flux leakage (MFL) technique is extensively used for detection of flaws as well as for evaluation of their dimensions in ferromagnetic materials. However, proper analysis of the MFL signal is hindered by the MFL sensor velocity causing distortions of this signal. Traditionally measured components of the MFL signal are particularly sensitive to the scanning velocity. In this paper, an another signal – the gradient of the normal component of magnetic flux density – was proposed as it is less sensitive to the scanning velocity. Results obtained for scans of the steel plate with artificially manufactured flaws confirm this statement.

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Influence of Specimen Velocity on the Leakage Signal in Magnetic Flux Leakage Type Nondestructive Testing

Cited by 17 publications

References 11 publications

Inspection and monitoring systems subsea pipelines: A review paper

Inspection and monitoring systems subsea pipelines: A review paper

Reduction of the Velocity Impact on the Magnetic Flux Leakage Signal

Magnetic field gradient as the most useful signal for detection of flaws using MFL technique

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