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Automatic Defect Identification of Eddy Current Pulsed Thermography Using Single Channel Blind Source Separation

Lookup NU author(s): Dr Wai Lok Woo, Professor Gui Yun TianORCiD

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Abstract

Eddy current pulsed thermography (ECPT) is an emerging nondestructive testing and evaluation (NDT&E) technique and has been applied for a wide range of conductive materials. In this paper, a single-channel blind source separation is proposed to process the ECPT image sequences. The proposed method enables: 1) automatically extract valuable spatial and time patterns according to the whole transient response behavior without any training knowledge, 2) automatically identify defect patterns and quantify the defects, and 3) to provide guidelines of choosing the optimal contrast functions that can improve the separation results. In this paper, both mathematical and physical models are discussed and linked. The basis of the selection of separated spatial and time patterns is also presented. In addition, an artificial slot and a thermal fatigue natural crack are applied to validate the proposed method.


Publication metadata

Author(s): Gao B, Bai LB, Woo WL, Tian GY, Cheng YH

Publication type: Article

Publication status: Published

Journal: IEEE Transactions on Instrumentation and Measurement

Year: 2014

Volume: 63

Issue: 4

Pages: 913-922

Print publication date: 04/11/2013

ISSN (print): 0018-9456

ISSN (electronic): 1557-9662

Publisher: Institute of Electrical and Electronics Engineers

URL: http://dx.doi.org/10.1109/TIM.2013.2285789

DOI: 10.1109/TIM.2013.2285789


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Funding

Funder referenceFunder name
EPSRC Grant Future Reliable Renewable Energy Conversion Systems and Networks
Newcastle University
University of Electronic Science and Technology of China
51377015National Natural Science Foundation of China
2013HH0059Sichuan Science and Technology Department
61102141National Natural Science Foundation of China
EP/F06151X/1U.K.-China Project
EP/E005071/1EPSRC

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