Estimation of Deep Defect in Ferromagnetic Material by Low Frequency Eddy Current Method

Lee, Kang Hyouk; Baek, Minki; Park, Il Han

doi:10.1109/tmag.2012.2202643

Cited by 23 publications

(6 citation statements)

References 7 publications

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“…A low‐frequency eddy current method used to estimate internal deep defects in ferromagnetic material and iron plate [50, 73]. One of the methods in ECT uses a single coil in both excitation and detection.…”

Section: Magnetic Characterisation Excitation Sourcementioning

confidence: 99%

Review on system development in eddy current testing and technique for defect classification and characterization

Ali

Abdalla

Rifai

et al. 2017

IET Circuits, Devices & Systems

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Eddy current testing (ECT) is one of the non-destructive evaluation techniques widely used, especially in oil and gas industries. It characterized noisy data to the less-than-perfect detection and as an indication of serious false alarm problem. However, not many researchers have described in detail the intelligent ECT crack detection system. This paper introduces a review of ECT technique and factors that affect the signal fundamental according to the hardware and software development. First, describe the magnetic excitation resources including the sinusoidal and pulse exciting signal. Second, outlines explanation about the ECT probe. The explanations are more about the probes development for air core probe and giant magnetoresistance probe. Third, there is discussion on ECT circuit that used including ECT system, ECT rotating magnetic field and application measurement for optimal control parameters. The defect in characterizations and measurement are discussed on the fourth part of this paper. The fourth part discusses the ECT lift-off compensation including the lift-off and application of intelligent technique in ECT. The limitations of lift-off for coil probe and compensation techniques also discussed in this part. Finally, a comprehensive review of previous studies on the application of intelligent ECT crack detection in nondestructive ECT is presented.

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Section: Magnetic Characterisation Excitation Sourcementioning

confidence: 99%

Review on system development in eddy current testing and technique for defect classification and characterization

Ali

Abdalla

Rifai

et al. 2017

IET Circuits, Devices & Systems

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“…This contrasts with most ECT concepts, which are based on continuous sinusoidal wave excitation at a single frequency (see Figure 3.6). The low duty cycle pulse results in a wide frequency band excitation field that allows deeper penetration into a test component owing to the lower frequency components (up to 30 mm) (Lee et al 2012). The penetration depth can be tuned by changing the duty cycle of these pulses, with wider pulses containing stronger lowfrequency components (Abidin et al 2009).…”

Section: Pulsed Excitation Eddy Current Techniquementioning

confidence: 99%

NDE Techniques Used in PARENT Open Round Robin Testing

Meyer

2014

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This report documents the nondestructive evaluation (NDE) techniques used in the open testing portion of the Program to Assess the Reliability of Emerging Nondestructive Techniques (PARENT), which is comprised of approximately 170 inspections performed on 19 test blocks by 23 teams from Japan, Europe, South Korea, and the USA. The teams examined dissimilar metal weld (DMW) and bottom-mounted instrumentation (BMI) test blocks. The goal of the open portion of PARENT is focused on evaluating the capability of novel and emerging NDE techniques from various entities including both industry and academia. The NDE techniques used in the open testing are broadly categorized as ultrasonic techniques, eddy current techniques, and other techniques. Motivations for developing many of the open NDE techniques can be characterized as addressing one or more of the following challenges:(1) to more accurately characterize large defects, (2) to enable inspections of difficult-to-access regions, and (3) to improve detectability of small defects. Information about the techniques was collected from teams participating in PARENT open testing and is included in the appendices of this report. The information in these appendices is referenced in the main body of the report, which includes brief overview descriptions of the NDE techniques used.

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“…Eddy current testing (ECT) has been widely used in the defect detection and performance evaluation of conductive materials due to its advantages such as accuracy, efficiency, and convenience [4][5][6][7]. Imaging technology overcomes the shortcomings of traditional eddy current nondestructive testing (NDT) methods that cannot obtain defect shapes and has the advantages of intuitive defect information and good visibility.…”

Section: Introductionmentioning

confidence: 99%

Defect Image Recognition and Classification for Eddy Current Testing of Titanium Plate Based on Convolutional Neural Network

Deng

Bao

2020

Complexity

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In the actual production environment, the eddy current imaging inspection of titanium plate defects is prone to scan shift, scale distortion, and noise interference in varying degrees, which leads to the defect false detection and even missed inspection. In view of this problem, a novel image recognition and classification method based on convolutional neural network (CNN) for eddy current detection of titanium plate defects is proposed. By constructing a variety of experimental conditions and collecting defect signals, the characteristics of eddy current testing (ECT) signals for titanium plate defects are analyzed, and then the convolution structure and learning parameters are set. The structural characteristics of local connectivity and shared weights of CNN have better feature learning and characterization capabilities for titanium plate defect images under scan shift, scale distortion, and strong noise interference. The results prove that, compared with other deep learning and classical machine learning methods, the CNN has a higher recognition and classification accuracy for the defect eddy current image of the titanium plate in the complex detection environment.

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Estimation of Deep Defect in Ferromagnetic Material by Low Frequency Eddy Current Method

Cited by 23 publications

References 7 publications

Review on system development in eddy current testing and technique for defect classification and characterization

Review on system development in eddy current testing and technique for defect classification and characterization

NDE Techniques Used in PARENT Open Round Robin Testing

Defect Image Recognition and Classification for Eddy Current Testing of Titanium Plate Based on Convolutional Neural Network

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