Thermal Pattern Contrast Diagnostic of Microcracks With Induction Thermography for Aircraft Braking Components

Wang, Yizhe, Gao, Bin, Woo, Wai Lok, Tian, Guiyun, Maldague, Xavier, Zheng, Li, Guo, Zheyou and Zhu, Yuyu (2018) Thermal Pattern Contrast Diagnostic of Microcracks With Induction Thermography for Aircraft Braking Components. IEEE Transactions on Industrial Informatics, 14 (12). pp. 5563-5574. ISSN 1551-3203

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Abstract

Reciprocating impact load leads to plastic deformation on the surface of the kinematic chains in an aircraft brake system. As a result, this causes fatigue and various complex natural damages. Due to the complex surface conditions and the coexistence damages, it is extremely difficult to diagnose microcracks by using conventional thermography inspection methods. In this paper, the thermal pattern contrast method is proposed for weak thermal signal detection using eddy current pulsed thermography. In this process, the extraction and subsequent separation differentiate a maximum of the thermal spatial-transient pattern between defect and nondefect areas. Specifically, a successive optical flow is established to conduct a projection of the thermal diffusion. This directly gains the benefits of capturing the thermal propagation characteristics. It enables us to build the motion context connected between the local and the global thermal spatial pattern. Principal component analysis is constructed to further mine the spatial-transient patterns to enhance the detectability and sensitivity in microcrack detection. Finally, experimental studies have been conducted on an artificial crack in a steel sample and on natural fatigue cracks in aircraft brake components in order to validate the proposed method.

Item Type:	Article
Uncontrolled Keywords:	Aircraft braking system, induction thermography, optical flow (OF), principal component analysis (PCA), thermal pattern contrast (TPC), weak signal extraction
Subjects:	F300 Physics G400 Computer Science
Department:	Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User:	Becky Skoyles
Date Deposited:	25 Mar 2019 11:24
Last Modified:	10 Oct 2019 21:03
URI:	http://nrl.northumbria.ac.uk/id/eprint/38525

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