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Lookup NU author(s): Dr Bin Gao,
Dr Wai Lok Woo,
Professor Gui Yun TianORCiD
This is the authors' accepted manuscript of an article that has been published in its final definitive form by IEEE, 2018.
For re-use rights please refer to the publisher's terms and conditions.
IEEE Reciprocating impact load leads to plastic deformation on the surface of the kinematic chains in 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 micro cracks by using conventional thermography inspection methods. In this paper, the Thermal Pattern Contrast (TPC) method is proposed for weak thermal signal detection using eddy current pulsed thermography (ECPT). In this process, the extraction and subsequent separation differentiate a maximum of the thermal spatial-transient pattern between defect and non-defect areas. Specifically, a successive optical flow (OF) 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 (PCA) is constructed to further mine the spatial-transient patterns to enhance the detectability and sensitivity in micro crack 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.
Author(s): Wang Y, Gao B, Woo W, Tian GY, Maldague X, Zheng L, Guo Z, Zhu Y
Publication type: Article
Publication status: Published
Journal: IEEE Transactions on Industrial Informatics
Print publication date: 01/12/2018
Online publication date: 05/02/2018
Acceptance date: 02/04/2016
Date deposited: 27/02/2018
ISSN (print): 1551-3203
ISSN (electronic): 1941-0050
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