Abstract: In recent years, many machine learning-based methods have emerged to detect faulty bearings. However, most of these methods may not be practical due to the need to collect a large number of fault samples for training. This ...

Abstract: Railway track geometry is generally understood to be influenced by the deformation of the track infrastructure. This study developed a spatial–temporal identification model for the deformation of the underlying high-speed ...