Vibration Signal Analysis On Axle Box Targetting Railway Track Condition

With the rapid development of technology and increasing requirement of railway,railway traffic conditions to enhance various traffic safety and comfort becomes more and more important in recent years.And the inspection and maintenance of line state is an important content to ensure the safety of railway line.A lot of domestic and international research has been made on dynamic testing signals of trains.Thus the extraction of signal feature point is a key technology targeting Railway Track Condition.This dissertation mainly studies the signal characteristics of the track geometry irregularity and the typical offline structure sleeper under the condition of empty hanging of the track geometry by using the Hilbert-Huang transform and blind source separation methods,in order to provide a diagnosis detection scheme for railway state.Firstly,the dynamics model is constructed based on the coupling vertical relation of the vehicle-rail.This study deals with the quantitative relationship of the signal characteristics between the track geometry irregularity and axle box vibration.Secondly,according to concrete conditions,evaluation and analysis of simulation signals is used to study different defects of the track structure based on signal processing method.In the end,the correctness of the algorithm is verified by designing the experimental scheme.