India procures a major position in the list of quickly developing countries with notable and appreciable advancements in the field of railway network. Derailments contribute to several railway accidents that have been caused. This is mainly due to the cracks in the railway track. These cracks usually go unobserved due to irregular maintenance. Manual track monitoring also adds to this issue of railway accidents. In this work, an autonomous testing train has been proposed for examining and spotting the cracks that are formed in the railway track. It is capable enough to detect even the small cracks caused on the railway tracks. The proposed testing train moves along the allocated path, which is the railway track and detects the cracks and faults in the track. The relevant officials are intimated with the exact location of the crack. In order to examine and determine the cracks in rails using a non-destructive technique, the concept of magnetic flux leakage (MFL) detection is used. It is a widely used non-destructive method that tests rope wire cables on the elevators. Additionally, it is used to examine storage tanks and pipelines if there is any loss of metal due to environmental effects. In this proposed system, two Hall sensors are utilized for the detection of MFL. The exact location of the track with fault is determined and the nearest control room is updated about this through an SMS, hence saving many lives.
Rail Track Defect Detection using Enhanced Method of Magnetic Flux Leakage Signal
01.06.2021
1573348 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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