Quantitative Estimation with Lift-Off Effect in Conductive Structure

Hua Yi Tang; Shu Li Pan; Ping Jie Huang; Di Bo Hou; Guang Xin Zhang

doi:10.4028/www.scientific.net/AMR.712-715.2035

Paper Titles

Review on Meteorological Detector in Highway Mechanical and Electrical Engineering
p.2015

Design of Alarm Controllers in Detection and Alarm Systems for Gases
p.2021

A New Approach to Improve the Probability of Detection of Eddy Current Inspection
p.2026

The Applied Research of System Subtractive Clustering RBF Algorithm in Eddy Current Testing on the Conductive Structure Defect
p.2030

Quantitative Estimation with Lift-Off Effect in Conductive Structure
p.2035

Research of Benzoyl Peroxide Residues in Flour by Terahertz Spectroscopy Technology
p.2039

Study on Fault-Tolerant Technique Based on Knowledge Modules of Hydraulic Fault Theory
p.2043

Overview of Ultrasound Imaging Algorithms Based on Synthetic Aperture Focusing Technique
p.2051

Research on the Fault Diagnosis System for ICM
p.2055

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 712-715Quantitative Estimation with Lift-Off Effect in...

Quantitative Estimation with Lift-Off Effect in Conductive Structure

Abstract:

Eddy current testing technique has been widely used in a variety of fields, many researches have been done in quantitative estimation in conductive structure. In the actual use of ECT system, lift-off effect is an inevitable factor which is still a challenging task. Hence, the objectives of this study are to introduce a novel model-free method Support Vector Regression optimized by Particle Swarm Optimization (PSO-SVR) to estimate the surface defect with variable lift-off. Experimental validation carried out that the proposed method had a good performance in surface defect estimation with lift-off effect.

You might also be interested in these eBooks

Advances in Manufacturing Science and Engineering

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 712-715)

Pages:

2035-2038

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.712-715.2035

Citation:

Cite this paper

Online since:

June 2013

Authors:

Hua Yi Tang, Shu Li Pan, Ping Jie Huang, Di Bo Hou, Guang Xin Zhang

Keywords:

Eddy Current Testing, Lift-Off, PSO-SVR

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] M. P. Papaelias, C. Roberts, and C. L. Davis, A review on non-destructive evaluation of rails: state-of-the-art and future development, IMechE, pp.367-384, 2008.

Google Scholar

[2] Smid R, Docekal A, Kreidl M. Automated classification of eddy current signatures during manual inspection[J]. NDT&E International. 2005, 38(6): 462-470.

DOI: 10.1016/j.ndteint.2004.12.004

Google Scholar

[3] Liu Z, Forsyth D S, Safizadeh M S, et al. A data-fusion scheme for quantitative image analysis by using locally weighted regression and Dempster-Shafer theory[J]. IEEE Transactions on Instrumentation and Measurement. 2008, 57(11): 2554-2560.

DOI: 10.1109/tim.2008.924933

Google Scholar

[4] G. Yang, G. Y. Tian, P. W. Que, and T. L. Chen, "Independent component analysis-based feature extraction technique for defect classification applied for pulsed eddy current NDE," Res. Nondestruct. Eval.,vol. 20, p.230–245, 2009.

DOI: 10.1080/09349840903078996

Google Scholar