Assessment of wall thinning in insulated ferromagnetic pipes using the time-to-peak of differential pulsed eddy-current testing signals

Xu, Zhiyuan; Wu, Xiaowen; Li, Jian; Kang, Yihua

doi:10.1016/j.ndteint.2012.07.004

Cited by 91 publications

(39 citation statements)

References 5 publications

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“…9 shows typical examples PEC signals obtained by using a Hall-device. The features that are used to infer the desired parameters may be readily available, such as peak value [32], [48], [49], peak arrival time [49], rising time [50] and zero crossing time [51]. In addition to these more traditional features, there have also been emerging features proposed in various reports, such as the so called ''relative variation of magnetic flux'' [20], which has been shown through both simulation and experiments to have potentials in determining the lift-off for ferromagnetic materials [7].…”

Section: Signal Feature and Feature Extractionmentioning

confidence: 99%

See 1 more Smart Citation

Pulsed Eddy Current Non-destructive Testing and Evaluation: A Review

Sophian

Tian

Fan

2017

Chin. J. Mech. Eng.

199

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Pulsed eddy current (PEC) non-destructive testing and evaluation (NDT&E) has been around for some time and it is still attracting extensive attention from researchers around the globe, which can be witnessed through the reports reviewed in this paper. Thanks to its richness of spectral components, various applications of this technique have been proposed and reported in the literature covering both structural integrity inspection and material characterization in various industrial sectors. To support its development and for better understanding of the phenomena around the transient induced eddy currents, attempts for its modelling both analytically and numerically have been made by researchers around the world. This review is an attempt to capture the state-of-the-art development and applications of PEC, especially in the last 15 years and it is not intended to be exhaustive. Future challenges and opportunities for PEC NDT&E are also presented.

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Section: Signal Feature and Feature Extractionmentioning

confidence: 99%

“…Research works related to the estimation of pipe wall thickness include [42], [49], [83], and [84]. A potentially effective method based on time-to-peak has been presented by Xu, et al for the assessment of wall thinning of insulated pipe [49].…”

Section: Measurement Of Thickness and Evaluation Of Corrosionmentioning

confidence: 99%

Pulsed Eddy Current Non-destructive Testing and Evaluation: A Review

Sophian

Tian

Fan

2017

Chin. J. Mech. Eng.

199

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“…Another studies by Xu et al [87] modeled the peak value and the time-to-peak features of wall-thinning insulated ferromagnetic pipes using the induction PECT. In addition, Xie et al [88] proposed a numerical solver for simulation of induction PECT signals based on the Fourier series and interpolation strategy.…”

Section: Pulsed Eddy Current Thermography (Pect)mentioning

confidence: 99%

Defect Characterization Based on Eddy Current Technique: Technical Review

Ghoni

Dollah

Sulaiman

et al. 2014

Advances in Mechanical Engineering

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Eddy current testing is widely used for nondestructive evaluation of metallic structures in characterizing numerous types of defects occurring in various locations. It offers remarkable advantages over other nondestructive techniques because of its ease of implementation. This paper presents a technical review of Eddy current technique in various scope of defect detection. The first part presents Eddy current evaluation on various defects location and orientation such as steam generator tubes, stress crack corrosion, and fatigue cracks. The next section analyzes the use of pulsed Eddy current and pulsed Eddy current thermography as an alternative method for monitoring the growth of cracks with the aid of computational techniques for postsignal analysis.

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“…In addition, the relevant signal processing methods have been proposed in ECPT. The time to peak feature has been adopted for wall thinning assessment and inner defects characterization in ferromagnetic materials [15,17]. However, the transient response features are always susceptible to noise.…”

Section: Introductionmentioning

confidence: 99%

Pattern Deep Region Learning for Crack Detection in Thermography Diagnosis System

Gao

et al. 2018

Metals

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Eddy Current Pulsed Thermography is a crucial non-destructive testing technology which has a rapidly increasing range of applications for crack detection on metals. Although the unsupervised learning method has been widely adopted in thermal sequences processing, the research on supervised learning in crack detection remains unexplored. In this paper, we propose an end-to-end pattern, deep region learning structure to achieve precise crack detection and localization. The proposed structure integrates both time and spatial pattern mining for crack information with a deep region convolution neural network. Experiments on both artificial and natural cracks have shown attractive performance and verified the efficacy of the proposed structure.

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Assessment of wall thinning in insulated ferromagnetic pipes using the time-to-peak of differential pulsed eddy-current testing signals

Cited by 91 publications

References 5 publications

Pulsed Eddy Current Non-destructive Testing and Evaluation: A Review

Pulsed Eddy Current Non-destructive Testing and Evaluation: A Review

Defect Characterization Based on Eddy Current Technique: Technical Review

Pattern Deep Region Learning for Crack Detection in Thermography Diagnosis System

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