Title: Fatigue crack detection of heavy duty railway track based on decision fusion analysis

Authors: Zhaojun Guo; Hao Yin

Addresses: Department of Civil Engineering, Shandong Polytechnic, Jinan 250104, China ' Railway Institute, Shandong Polytechnic, Jinan 250104, China

Abstract: In order to overcome the problems of low detection accuracy and long detection time of traditional crack detection methods, this paper proposes a fatigue crack detection method of heavy-haul railway rail based on decision fusion analysis. Based on the accurate load composition and key structural parameters of heavy-haul railway rails, the initial crack data were obtained according to the crack generation state. The data of rail fatigue crack in three-dimensional space were transformed into numerical data of crack in two-dimensional plane by translation and rotation method, and the crack tip data were fused by decision fusion analysis method, so as to realise accurate detection of crack location. The experimental results show that the detection accuracy of the proposed method is always higher than 95.3%, and the detection time is always less than 0.5 s, which can realise the rapid and accurate detection of fatigue crack of heavy-duty railway rail.

Keywords: decision fusion analysis; heavy duty railway; rail fatigue; crack detection.

DOI: 10.1504/IJMPT.2022.10047956

International Journal of Materials and Product Technology, 2022 Vol.65 No.1, pp.14 - 29

Received: 11 Mar 2021
Accepted: 19 Jun 2021

Published online: 20 Jul 2022 *

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