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Lookup NU author(s): Professor Gui Yun TianORCiD, Yunlai Gao
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In order to detect and evaluate rail surface fatigue cracks, this paper proposes a non-contact laser ultrasonic technique based on data fusion and wavelet packet analysis. The theory for defect depth detection using Rayleigh wave was described via finite element method. Experimental studies were implemented for verification. Results show the feasibility of laser ultrasonic configuration to evaluate defect depth. The rail-track cracks at different depths are well classified by the proposed data fusion algorithm and Kernel PCA under unsupervised condition. Defect quantitative evaluation considering the proposed method is discussed for future works.
Author(s): Jiang Y, Wang H, Tian G, Yi Q, Gao Y, Hu P, Xu J
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 56th Annual Conference of the British Institute of Non-Destructive Testing, NDT 2017
Year of Conference: 2017
Acceptance date: 02/04/2016
Publisher: British Institute of Non-Destructive Testing
