Multi-Tubular Corrosion Inspection Using a Pulsed Eddy Current Logging Tool

2013 ◽  
Author(s):  
Marvin Rourke ◽  
Yong Li ◽  
Glyn Roberts
Keyword(s):  
Eddy Current ◽  
Pulsed Eddy Current ◽  
Logging Tool

Analysis of field uniformity and quantitative evaluation of subsurface pitting corrosion in conductors via GPEC

2020 ◽  
Vol 64 (1-4) ◽  
pp. 19-29
Author(s):  
Shuting Ren ◽  
Yong Li ◽  
Bei Yan ◽  
Jinhua Hu ◽  
Ilham Mukriz Zainal Abidin ◽  
...  
Keyword(s):  
Quantitative Evaluation ◽  
Eddy Current ◽  
Pitting Corrosion ◽  
Gradient Field ◽  
Uniform Field ◽  
Eddy Current Method ◽  
Optimal Position ◽  
Pulsed Eddy Current ◽  
Field Uniformity ◽  
Processing Algorithms

Structures of nonmagnetic materials are broadly used in engineering fields such as aerospace, energy, etc. Due to corrosive and hostile environments, they are vulnerable to the Subsurface Pitting Corrosion (SPC) leading to structural failure. Therefore, it is imperative to conduct periodical inspection and comprehensive evaluation of SPC using reliable nondestructive evaluation techniques. Extended from the conventional Pulsed eddy current method (PEC), Gradient-field Pulsed Eddy Current technique (GPEC) has been proposed and found to be advantageous over PEC in terms of enhanced inspection sensitivity and accuracy in evaluation and imaging of subsurface defects in nonmagnetic conductors. In this paper two GPEC probes for uniform field excitation are intensively analyzed and compared. Their capabilities in SPC evaluation and imaging are explored through simulations and experiments. The optimal position for deployment of the magnetic field sensor is determined by scrutinizing the field uniformity and inspection sensitivity to SPC based on finite element simulations. After the optimal probe structure is chosen, quantitative evaluation and imaging of SPC are investigated. Signal/image processing algorithms for SPC evaluation are proposed. Through simulations and experiments, it has been found that the T-shaped probe together with the proposed processing algorithms is advantageous and preferable for profile recognition and depth evaluation of SPC.

Real-time wavelet denoising for pulsed eddy current signal based on heterogeneous dual-core

2013 ◽  
Vol 33 (3) ◽  
pp. 866-870
Author(s):  
Xuanbing QIU ◽  
Jilin WEI ◽  
Xiaochao CUI ◽  
Chunhua XIA
Keyword(s):  
Real Time ◽  
Eddy Current ◽  
Wavelet Denoising ◽  
Current Signal ◽  
Pulsed Eddy Current ◽  
Dual Core

Steel Corrosion Characterization Using Pulsed Eddy Current Systems

2012 ◽  
Vol 12 (6) ◽  
pp. 2113-2120 ◽  
Author(s):  
Yunze He ◽  
Guiyun Tian ◽  
Hong Zhang ◽  
Mohammed Alamin ◽  
Anthony Simm ◽  
...  
Keyword(s):  
Eddy Current ◽  
Steel Corrosion ◽  
Pulsed Eddy Current ◽  
Current Systems

scholarly journals Decoupling the Influence of Wall Thinning and Cladding Thickness Variations in Pulsed Eddy Current using Principal Component Analysis

2021 ◽  
pp. 1-1
Author(s):  
Faris Nafiah ◽  
Mohammad O. Tokhi ◽  
Gholamhossein Shirkoohi ◽  
Fang Duan ◽  
Zhanfang Zhao ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Eddy Current ◽  
Principal Component ◽  
Component Analysis ◽  
Pulsed Eddy Current ◽  
Wall Thinning ◽  
Thickness Variations

scholarly journals Track non-contact detection method based on pulsed eddy current array and line structured light

2021 ◽  
Vol 1846 (1) ◽  
pp. 012018
Author(s):  
Chunxu Shang ◽  
Yan Guo ◽  
Zehao Chen ◽  
Haonan You
Keyword(s):  
Eddy Current ◽  
Detection Method ◽  
Structured Light ◽  
Contact Detection ◽  
Pulsed Eddy Current

Electromagnetic Enhancement of Pulsed Eddy Current Signals

2007 ◽  
Author(s):  
Catalin V. Mandache ◽  
J. H. Vivier Lefebvre
Keyword(s):  
Eddy Current ◽  
Electromagnetic Enhancement ◽  
Pulsed Eddy Current

Feature extraction and selection for defect classification of pulsed eddy current NDT

2008 ◽  
Vol 41 (6) ◽  
pp. 467-476 ◽  
Author(s):  
Tianlu Chen ◽  
Gui Yun Tian ◽  
Ali Sophian ◽  
Pei Wen Que
Keyword(s):  
Feature Extraction ◽  
Eddy Current ◽  
Defect Classification ◽  
Pulsed Eddy Current ◽  
Feature Extraction And Selection ◽  
Selection For
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