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Railways require high investment costs and need continuous and controlled monitoring for defects on
the surface and inside the rail material. The existing nondestructive methods for crack detection are
commonly based image processing. This study provides a comparison of the existing methods, and
presents a new method to detect cracks also based on image processing. The present approach
utilizes the fuzzy logic coupled with the peridynamic differential operator. Its robustness is
demonstrated by detecting cracks in an image of a rail with cracks.
International Symposium on Railway System Engineering
ISERSE
Cihan Mizrak
Erdogan Madenci
Yusuf Yurekli
Fatih Pehlivan