Blind Source Separation for Detection and Classification of Rail Surface Defects
نویسندگان
چکیده
The non-destructive evaluation of the rail is crucial to provide a high safety level in railway transportation. To detect and classify on line rail surface defects (splitted rail, shelling ...), a specific double-coils double-frequencies eddy current sensor is used, which gives 8 real differential signals. Blind Source Separation (BSS) is applied to dissociate the different classes of defects or singular points from the sensory signals. Typical defect signatures are analyzed to determine relevant signals for separation and estimate the corresponding separation matrices. A hierarchical separation procedure is then proposed and applied to real signals.
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