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Qingwang Luo
School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.

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Journal article
Published: 21 September 2018 in Measurement
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In the detecting of joint casings in oil wells based on remote field eddy current (RFEC) testing, the two penetrations of RFEC on casings (near the transmitter and near the sensing coils) enhance the complicacy of detecting joint casings. The proposed method in this paper is an efficient way to overcome this problem by removing the signal caused by wall’s proximity to the transmitter from the testing signal. In the method, the secondary peaks caused by the transmitter passing over defects need to be removed from the testing signal by employing dual sensing coils firstly. Then the iterations of the testing signals from the dual sensing coils are deduced for the further application of the Wiener deconvolution filter to identify the signal that is used to indicate anomalies. Thirdly, the acquisition of the signal caused by normal wall’s proximity to the transmitter is obtained according to the indicator signal. Lastly, after the both removal of secondary peaks and the signal caused by normal wall’s proximity to the transmitter from the testing signal, the remaining signal can be used to monitor the present joint casings in a well adaptively. The method proposed in this paper is validated via a logging tool, the Kesuo #1 well and ANSYS simulation.

ACS Style

Yibing Shi; Qingwang Luo; Zhigang Wang; Wei Zhang; Yanjun Li. Dual sensing coils used for RFEC testing of joint casings in oil wells. Measurement 2018, 133, 68 -76.

AMA Style

Yibing Shi, Qingwang Luo, Zhigang Wang, Wei Zhang, Yanjun Li. Dual sensing coils used for RFEC testing of joint casings in oil wells. Measurement. 2018; 133 ():68-76.

Chicago/Turabian Style

Yibing Shi; Qingwang Luo; Zhigang Wang; Wei Zhang; Yanjun Li. 2018. "Dual sensing coils used for RFEC testing of joint casings in oil wells." Measurement 133, no. : 68-76.

Letter
Published: 23 August 2018 in 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.

ACS Style

Wei Zhang; Yibing Shi; Yanjun Li; Qingwang Luo. A Study of Quantifying Thickness of Ferromagnetic Pipes Based on Remote Field Eddy Current Testing. Sensors 2018, 18, 2769 .

AMA Style

Wei Zhang, Yibing Shi, Yanjun Li, Qingwang Luo. A Study of Quantifying Thickness of Ferromagnetic Pipes Based on Remote Field Eddy Current Testing. Sensors. 2018; 18 (9):2769.

Chicago/Turabian Style

Wei Zhang; Yibing Shi; Yanjun Li; Qingwang Luo. 2018. "A Study of Quantifying Thickness of Ferromagnetic Pipes Based on Remote Field Eddy Current Testing." Sensors 18, no. 9: 2769.

Letter
Published: 05 May 2017 in Sensors
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Pulsed Remote Field Eddy Current Testing (PRFECT) attracts the attention in the testing of ferromagnetic pipes because of its continuous spectrum. This paper simulated the practical PRFECT of pipes by using ANSYS software and employed Least Squares Support Vector Regression (LSSVR) to extract the zero-crossing time to analyze the pipe thickness. As a result, a secondary peak is found in zero-crossing time when transmitter passed by a defect. The secondary peak will lead to wrong quantification and the localization of defects, especially when defects are found only at the transmitter location. Aiming to eliminate the secondary peaks, double sensing coils are set in the transition zone and Wiener deconvolution filter is applied. In the proposed method, position dependent response of the differential signals from the double sensing coils is calibrated by employing zero-mean normalization. The methods proposed in this paper are validated by analyzing the simulation signals and can improve the practicality of PRFECT of ferromagnetic pipes.

ACS Style

Qingwang Luo; Yibing Shi; Zhigang Wang; Wei Zhang; Yanjun Li. A Study of Applying Pulsed Remote Field Eddy Current in Ferromagnetic Pipes Testing. Sensors 2017, 17, 1038 .

AMA Style

Qingwang Luo, Yibing Shi, Zhigang Wang, Wei Zhang, Yanjun Li. A Study of Applying Pulsed Remote Field Eddy Current in Ferromagnetic Pipes Testing. Sensors. 2017; 17 (5):1038.

Chicago/Turabian Style

Qingwang Luo; Yibing Shi; Zhigang Wang; Wei Zhang; Yanjun Li. 2017. "A Study of Applying Pulsed Remote Field Eddy Current in Ferromagnetic Pipes Testing." Sensors 17, no. 5: 1038.

Article
Published: 22 November 2016 in Journal of Nondestructive Evaluation
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In the remote field eddy current (RFEC) testing of pipes, because the remote eddy current penetrates the pipe’s wall twice, the testing results exhibit two peaks (primary peak and secondary peak) that originate from both the transmitter and receiver passing by the same place in the pipe. The secondary peaks have the same features as the primary peaks that are used to assess defects, and if there is no separation between primary peaks and secondary peaks, incorrect evaluations of defects will be obtained. Considering the benefits of removing secondary peaks in RFEC testing, dual receivers are taken into account. Dual receivers are set in remote fields and are set coaxially to the transmitter to obtain differential signals at the same time. In the proposed method, position dependent response of the differential signals from the dual receivers is calibrated, a Wiener deconvolution filter is used to identify secondary peaks and filter testing noise, and the factors that affect results of removing secondary peaks are also analyzed. To validate the feasibility of the proposed method of RFEC testing, ANSYS is made use of when setting up the analysis model, and an experimental pipe is designed to be identical to ANSYS model. The results of the analysis of ANSYS and experiments both validate the practicality of the proposed method and show the benefits of simplifying the analysis of RFEC signals.

ACS Style

Qingwang Luo; Yibing Shi; Zhigang Wang; Wei Zhang; Dong Ma. Method for Removing Secondary Peaks in Remote Field Eddy Current Testing of Pipes. Journal of Nondestructive Evaluation 2016, 36, 1 .

AMA Style

Qingwang Luo, Yibing Shi, Zhigang Wang, Wei Zhang, Dong Ma. Method for Removing Secondary Peaks in Remote Field Eddy Current Testing of Pipes. Journal of Nondestructive Evaluation. 2016; 36 (1):1.

Chicago/Turabian Style

Qingwang Luo; Yibing Shi; Zhigang Wang; Wei Zhang; Dong Ma. 2016. "Method for Removing Secondary Peaks in Remote Field Eddy Current Testing of Pipes." Journal of Nondestructive Evaluation 36, no. 1: 1.

Text
Published: 01 October 2016 in Review of Scientific Instruments
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In the non-destructive testing of ferromagnetic pipes based on remote field eddy currents, an array of sensing coils is often used to detect local defects. While testing, the image that is obtained by sensing coils exhibits a ghost-image, which originates from both the transmitter and sensing coils passing over the same defects in pipes. Ghost-images are caused by transmitters and lead to undesirable assessments of defects. In order to remove ghost-images, two pickup coils are coaxially set to each other in remote field. Due to the time delay between differential signals tested by the two pickup coils, a Wiener deconvolution filter is used to identify the artificial peaks that lead to ghost-images. Because the sensing coils and two pickup coils all receive the same signal from one transmitter, they all contain the same artificial peaks. By subtracting the artificial peak values obtained by the two pickup coils from the imaging data, the ghost-image caused by the transmitter is eliminated. Finally, a relatively highly accurate image of local defects is obtained by these sensing coils. With proposed method, there is no need to subtract the average value of the sensing coils, and it is sensitive to ringed defects.

ACS Style

Q. W. Luo; Y. B. Shi; Z. G. Wang; W. Zhang; Y. Zhang. Approach for removing ghost-images in remote field eddy current testing of ferromagnetic pipes. Review of Scientific Instruments 2016, 87, 104707 .

AMA Style

Q. W. Luo, Y. B. Shi, Z. G. Wang, W. Zhang, Y. Zhang. Approach for removing ghost-images in remote field eddy current testing of ferromagnetic pipes. Review of Scientific Instruments. 2016; 87 (10):104707.

Chicago/Turabian Style

Q. W. Luo; Y. B. Shi; Z. G. Wang; W. Zhang; Y. Zhang. 2016. "Approach for removing ghost-images in remote field eddy current testing of ferromagnetic pipes." Review of Scientific Instruments 87, no. 10: 104707.

Conference paper
Published: 01 April 2014 in 2014 International Conference on Information Science, Electronics and Electrical Engineering
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ACS Style

Aihua Tao; Wei Zhang; Zhigang Wang; Qingwang Luo. Design on forward modeling of RFEC inspection for cracks. 2014 International Conference on Information Science, Electronics and Electrical Engineering 2014, 1 .

AMA Style

Aihua Tao, Wei Zhang, Zhigang Wang, Qingwang Luo. Design on forward modeling of RFEC inspection for cracks. 2014 International Conference on Information Science, Electronics and Electrical Engineering. 2014; ():1.

Chicago/Turabian Style

Aihua Tao; Wei Zhang; Zhigang Wang; Qingwang Luo. 2014. "Design on forward modeling of RFEC inspection for cracks." 2014 International Conference on Information Science, Electronics and Electrical Engineering , no. : 1.