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

Gao, Bin, Bai, Libing, Woo, Wai Lok, Tian, Gui Yun and Cheng, Yuhua (2014) Automatic Defect Identification of Eddy Current Pulsed Thermography Using Single Channel Blind Source Separation. IEEE Transactions on Instrumentation and Measurement, 63 (4). pp. 913-922. ISSN 0018-9456

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

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.

Item Type: Article
Uncontrolled Keywords: Blind source separation (BSS), eddy current pulsed thermography (ECPT), mathematical modeling, nondestructive evaluation (NDT&E), pattern extraction
Subjects: G900 Others in Mathematical and Computing Sciences
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Becky Skoyles
Date Deposited: 11 Apr 2019 10:58
Last Modified: 11 Apr 2019 10:58
URI: http://nrl.northumbria.ac.uk/id/eprint/38936

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