Method for Removing Secondary Peaks in Remote Field Eddy Current Testing of Pipes

Luo, Qingwang; Shi, Yibing; Wang, Zhigang; Zhang, Wei; Ma, Dong

doi:10.1007/s10921-016-0379-z

Cited by 16 publications

(7 citation statements)

References 27 publications

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“…In simulations, the frequency of the exciting signal was 20 Hz, the pipe inner diameter was 157.1 × 10 −3 m, the pipe thickness was 10.36 × 10 −3 m, the simulation model was 2D axisymmetric, and the parameters of the exciting coil and receiving coil were set as the same as previously introduced in [ 22 , 23 ]. According to Table 1 , when the product value of the pipe permeability and conductivity remains constant (point E), different couples of permeability and conductivity have different simulation results (such as the simulating phase in Table 1 ).…”

Section: Methods and Modelsmentioning

confidence: 99%

“…The authors concentrated on applying RFECT in practical ferromagnetic pipes testing. As such, the authors have worked out a method for removing secondary peaks in practical RFECT of ferromagnetic pipes [ 22 ] and have investigated array RFECT and pulsed RFECT of ferromagnetic pipes [ 23 , 24 ]. By combining the authors’ previous studies, this paper studies a method for quantifying wall thickness in RFECT of ferromagnetic pipes based on the linear function that was introduced before.…”

Section: Introductionmentioning

confidence: 99%

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A Study of Quantifying Thickness of Ferromagnetic Pipes Based on Remote Field Eddy Current Testing

Zhang

Shi

et al. 2018

Sensors

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Remote Field Eddy Current Testing (RFECT) has broad applications in ferromagnetic pipe testing due to the same testing sensitivity to inner and outer wall defects. However, how to quantify wall thickness in the RFECT of pipes is still a big problem. According to researchers’ studies, a linear relationship exists between the wall thickness, permeability and conductivity of a pipe and the phase of the RFECT signal. Aiming to quantify wall thickness by using this linear function, it is necessary to further study the effects of pipe permeability and conductivity on the phase of the RFECT signal. When the product value of the permeability and the conductivity of a pipe remains constant, the univariate analysis and Finite Element Analysis (FEA) are employed to analyze the variations among the phase of the RFECT signal caused by different couples of permeability and conductivity. These variations are calibrated by using a nonlinear fitting method. Moreover, Multi-Frequency Eddy Current Testing (MFECT) is applied to inverse the permeability and conductivity of a pipe to compensate for the quantification analysis of wall thickness. The methods proposed in this paper are validated by analyzing the simulation signals and can improve the practicality of RFECT of ferromagnetic pipes.

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Section: Methods and Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Study of Quantifying Thickness of Ferromagnetic Pipes Based on Remote Field Eddy Current Testing

Zhang

Shi

et al. 2018

Sensors

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“…However, the transmitting-receiving distance (TRD), which is also termed as the source distance, was ignored. In [16]- [18], the TRD effect was investigated using finite element analysis in a remote field pulsed eddycurrent system. It was shown that the thickness of a metal pipe can be determined using the zero-crossing time method as well as through the phase shifting of the attenuated responses with respect to the TRD.…”

Section: Introductionmentioning

confidence: 99%

Multiple-Transmit Focusing for the Nondestructive Testing of Downhole Casings Based on Borehole Transient Electromagnetic Systems

et al. 2020

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Borehole transient electromagnetic (TEM) array has proven to be efficient for the downhole nondestructive testing (NDT) of metal casings through the eddy-current property. However, restricted by bad downhole conditions, the simple increase of the receiving array is not sufficient enough for improving the downhole NDT performance. In this paper, we present a multiple-transmit focusing (MTF)-based borehole TEM system for the NDT of downhole casings. On the basis of the borehole TEM signal model, the response of the multiple-transmit array is derived by employing the matrix form of the borehole TEM response. It was shown that the excited magnetic field by the multiple-transmit array can be focused by weighting the current of each transmitter. Using this property, a modified linear constrained minimum variance-based multipletransmitting array weighting method was proposed to realize the MTF. Moreover, a subarray partition approach was proposed to simplify the MTF realization, where the subarray weighting and mean square error were also analyzed. The MTF method performance was verified by applying it to a borehole TEM system for the NDTs of downhole casings. Finally, simulations and experiments were conducted, and the results demonstrated the effectiveness of the proposed method.

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“…Therefore, it is necessary to establish evaluation techniques to monitor the health of dielectric pipes and pipeline coatings at early stages. Various approaches based on nondestructive detection (NDE) have been proposed to detect damage in pipes, including eddy currents [4][5][6], guided waves [7], ultrasonic techniques [8,9], magnetic flux leakage [10,11], electromagnetic acoustic transducers [12], and endoscopic approaches using various kinds of sensors (e.g. optical cameras and lasers) to detect pipelines with the available internal volume [13,14].…”

Section: Introductionmentioning

confidence: 99%

Non-destructive evaluation of pipes by microwave techniques and artificial neural networks

Xie¹,

Yang²,

Yuan³

et al. 2020

Meas. Sci. Technol.

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Near-field imaging based on an electromagnetic sensor has been widely used for nondestructive detection. An approach to detect the near-surface defects in pipeline coatings and dielectric pipelines is proposed. Based on the characteristics of resonant frequency shifts, a novel method using artificial neural network (ANN) is established to quantitatively evaluate circular-section shape defects in pipes, such as air bubbles in pipeline coating layers or qualitative characterize non-circular section-shape defects. The proposed method has three important modules: a new resonator for data acquisition, a signal-processing algorithm for data preprocessing, and an ANN for quantitative imaging. In the designed sensor, we extend the tip of the sensing ring and introduce an appending in the ring gap for high sensitivity. Simulations show that the sensor can detect a defect with a radius as small as 0.7 mm. The raw resonant frequency shifts obtained by the sensor scanning at an angle interval around the specimen first are preprocessed by curve fitting, sampling, and adaptive data interpolation or truncation. Then, using an ANN, the relationships among resonant frequency shifts, external radius of the specimen, and defect size are modeled for imaging of circular-section shape defects. Preliminary simulations and measurements illustrate the efficacy of the method. Consequently, a contactless, high-resolution, near-field imaging measurement based on sensor scanning for inspecting pipe structures is obtained.

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Method for Removing Secondary Peaks in Remote Field Eddy Current Testing of Pipes

Cited by 16 publications

References 27 publications

A Study of Quantifying Thickness of Ferromagnetic Pipes Based on Remote Field Eddy Current Testing

A Study of Quantifying Thickness of Ferromagnetic Pipes Based on Remote Field Eddy Current Testing

Multiple-Transmit Focusing for the Nondestructive Testing of Downhole Casings Based on Borehole Transient Electromagnetic Systems

Non-destructive evaluation of pipes by microwave techniques and artificial neural networks

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