Data driven machine learning prognostics of buckling failure modes in ballasted railway track
DiscovApplSci, Switzerland, Apr 2024
This study explores the development and application of a machine learning (ML) approach to predict buckling failure modes in ballasted railway tracks. With the growing demand for safer and more reliable railway systems, the ability to foresee and mitigate track failures is of paramount importance.
