Spatial-time-step features fusion algorithm in Eddy current pulsed thermography

Xiang Xiao; Bin Gao; W. L. Woo; Gui Yun Tian; Jun Gu

doi:10.1109/FENDT.2017.8584604

Spatial-time-step features fusion algorithm in Eddy current pulsed thermography

Xiang Xiao, Bin Gao, W. L. Woo, Gui Yun Tian, Jun Gu

Computer Information Sciences Department

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Eddy Current Pulsed Thermograph (ECPT) has received extensive attention due to high sensitivity detection with surface and subsurface cracks. However, it has unsolved detection problem of blind defect location without any prior knowledge. This paper presents a spatial-time-step features fusion algorithm to obtain defects reconstruction of whole specimen by blind scanning. The proposed method is intended to use features extraction by independent component analysis (ICA) and features selection by skewness. Finally, the optimal feature of each step is fused to obtain defects reconstruction image by using common orthogonal basis extraction (COBE). Experiments have been conducted to validate this study and it shows that this algorithm has a great effect on feature selection.

Original language	English
Title of host publication	Proceedings of 2017 IEEE Far East NDT New Technology and Application Forum, FENDT 2017
Publisher	IEEE
Pages	237-240
Number of pages	4
ISBN (Print)	9781538616147, 9781538616154
DOIs	https://doi.org/10.1109/FENDT.2017.8584604
Publication status	Published - 24 Dec 2018
Event	2017 Far East NDT New Technology & Application Forum - Shaanxi Guesthouse, Xi’an, China Duration: 22 Jun 2017 → 24 Jun 2017 http://www.fendti.com/2017/

Conference

Conference	2017 Far East NDT New Technology & Application Forum
Abbreviated title	FENDT 2017
Country/Territory	China
City	Xi’an
Period	22/06/17 → 24/06/17
Internet address	http://www.fendti.com/2017/

Keywords

Skewness
common orthogonal basis extraction
eddy current pulsed thermograph
independent component analysis

Access to Document

10.1109/FENDT.2017.8584604

Cite this

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title = "Spatial-time-step features fusion algorithm in Eddy current pulsed thermography",

abstract = "Eddy Current Pulsed Thermograph (ECPT) has received extensive attention due to high sensitivity detection with surface and subsurface cracks. However, it has unsolved detection problem of blind defect location without any prior knowledge. This paper presents a spatial-time-step features fusion algorithm to obtain defects reconstruction of whole specimen by blind scanning. The proposed method is intended to use features extraction by independent component analysis (ICA) and features selection by skewness. Finally, the optimal feature of each step is fused to obtain defects reconstruction image by using common orthogonal basis extraction (COBE). Experiments have been conducted to validate this study and it shows that this algorithm has a great effect on feature selection.",

keywords = "Skewness, common orthogonal basis extraction, eddy current pulsed thermograph, independent component analysis",

author = "Xiang Xiao and Bin Gao and Woo, {W. L.} and Tian, {Gui Yun} and Jun Gu",

year = "2018",

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doi = "10.1109/FENDT.2017.8584604",

language = "English",

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pages = "237--240",

booktitle = "Proceedings of 2017 IEEE Far East NDT New Technology and Application Forum, FENDT 2017",

publisher = "IEEE",

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note = "2017 Far East NDT New Technology & Application Forum, FENDT 2017 ; Conference date: 22-06-2017 Through 24-06-2017",

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T1 - Spatial-time-step features fusion algorithm in Eddy current pulsed thermography

AU - Xiao, Xiang

AU - Gao, Bin

AU - Woo, W. L.

AU - Tian, Gui Yun

AU - Gu, Jun

PY - 2018/12/24

Y1 - 2018/12/24

N2 - Eddy Current Pulsed Thermograph (ECPT) has received extensive attention due to high sensitivity detection with surface and subsurface cracks. However, it has unsolved detection problem of blind defect location without any prior knowledge. This paper presents a spatial-time-step features fusion algorithm to obtain defects reconstruction of whole specimen by blind scanning. The proposed method is intended to use features extraction by independent component analysis (ICA) and features selection by skewness. Finally, the optimal feature of each step is fused to obtain defects reconstruction image by using common orthogonal basis extraction (COBE). Experiments have been conducted to validate this study and it shows that this algorithm has a great effect on feature selection.

AB - Eddy Current Pulsed Thermograph (ECPT) has received extensive attention due to high sensitivity detection with surface and subsurface cracks. However, it has unsolved detection problem of blind defect location without any prior knowledge. This paper presents a spatial-time-step features fusion algorithm to obtain defects reconstruction of whole specimen by blind scanning. The proposed method is intended to use features extraction by independent component analysis (ICA) and features selection by skewness. Finally, the optimal feature of each step is fused to obtain defects reconstruction image by using common orthogonal basis extraction (COBE). Experiments have been conducted to validate this study and it shows that this algorithm has a great effect on feature selection.

KW - Skewness

KW - common orthogonal basis extraction

KW - eddy current pulsed thermograph

KW - independent component analysis

U2 - 10.1109/FENDT.2017.8584604

DO - 10.1109/FENDT.2017.8584604

M3 - Chapter

SN - 9781538616147

SN - 9781538616154

SP - 237

EP - 240

BT - Proceedings of 2017 IEEE Far East NDT New Technology and Application Forum, FENDT 2017

PB - IEEE

T2 - 2017 Far East NDT New Technology & Application Forum

Y2 - 22 June 2017 through 24 June 2017

ER -

Spatial-time-step features fusion algorithm in Eddy current pulsed thermography

Abstract

Conference

Keywords

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