Evaluating Fouled Ballast Using Digitized GPR Reflected Patterns

The employment of transmissive motors to ascertain the track base fountain interface is a highly efficient method; however, the interpretation of the information can be challenging when the data set is extensive. The advent of digitalization, grid computing, and data processing has rendered the process of identifying the object to be measured and the interface more objective and expeditious. Subsequently, the scope may be expanded to encompass the domains of computerized learning and artificial intelligence.