Machine learning-aided identification of train weights from railway sleeper vibration

Vibrations of partly supported concrete railway sleeper

Comparison of Annoyance from Railway Noise and Railway Vibration

The aim of this study is to compare vibration exposure to noise exposure from railway traffic in terms of equal annoyance, i.e., to determine when a certain noise level is equally annoying as a corresponding vibration velocity. Based on questionnaire data from the Train Vibration and Noise Effects (TVANE) research project from residential areas exposed to railway noise and vibration, the dose r...

Static and Dynamic Analysis of Railway Track Sleeper

The increased speed and weight of modern trains puts the components of a railway track in a highly dynamic load situation. Irregularities of the wheels and rails induce substantial dynamic loads that have to be accounted for in the procedure of designing the railway track. The concrete sleeper is an essential part of the track structure and there is a growing demand for improved analytical tool...

Application of Machine Learning Techniques for Railway Health Monitoring

Emerging wireless sensor networking (WSN) and modern machine learning techniques have encouraged interest in the development of vehicle health monitoring (VHM) systems that ensure secure and reliable operation of the rail vehicle. The performance of rail vehicles running on railway tracks is governed by the dynamic behaviours of railway bogies especially in the cases of lateral instability and ...

Monitoring Vertical Acceleration of Railway Wagon using Machine Learning Technique

Wireless communications and modern machine learning techniques have jointly been applied in the recent development of vehicle health monitoring (VHM) systems. The performance of rail vehicles running on railway tracks is governed by the dynamic behaviors of railway bogies especially in the cases of lateral instability and track irregularities. In this study we have proposed a system to monitor ...