Detection and Classification System for Rail Surface Defects Based on Eddy Current.

ABSTRACT: The prospect of growth of a railway system impacts both the network size and its occupation. Due to the overloaded infrastructure, it is necessary to increase reliability by adopting fast maintenance services to reach economic and security conditions. In this context, one major problem is the excessive friction caused by the wheels. This contingency may cause ruptures with severe consequences. While eddy's current approaches are adequate to detect superficial damages in metal structures, there are still open challenges concerning automatic identification of rail defects. Herein, we propose an embedded system for online detection and location of rails defects based on eddy current. Moreover, we propose a new method to interpret eddy current signals by analyzing their wavelet transforms thro

SUBMITTER: Alvarenga TA 

PROVIDER: S-EPMC8659563 | biostudies-literature | 2021 Nov

REPOSITORIES: biostudies-literature