Wheel–rail impact loads generated by discrete wheel tread irregularities may result in high dynamic bending stresses the wheelset axle, leading to a decrease component life and an elevated risk for fatigue failure. In this paper, versatile cost-efficient method simulate vertical interaction between railway track, accounting generic distributions shapes of damage, is presented. The (comprising t...

To improve the quality of track maintenance work, it is a desire to estimate vehicle dynamic behavior from geometry irregularities. This paper proposes deep learning model predict responses (e.g., vertical wheel-rail forces, wheel unloading rate, and car body acceleration) using techniques. In proposed CA-CNN-MUSE model, convolutional neural networks (CNNs) are used learn features irregularitie...

Indian Rail transport is one of the major mode of transportation, so it must offer high comfort level for the passengers and the staff. However, the comfort that passengers experience is a highly complex and individual phenomenon. The improvement of passenger comfort while travelling has been the subject of intense interest for many train manufacturers, researchers and companies around the worl...

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 ...

A new computational model for the analysis of the suspension system of an innovative concept in vertical-axis wind turbines is introduced. We used this model to study a new concept in extra-large wind-power plants: the VGOT (variable-geometry oval-trajectory) Darrieus wind turbine. In a traditional Darrieus turbine, the blades rotate around a central vertical axis. In the VGOT concept each blad...

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 ...

Advances in modern machine learning techniques has encouraged interest in the development of vehicle health monitoring (VHM) systems. These techniques are useful for the reduction of maintenance and inspection requirements of railway systems. The performance of rail vehicles running on a track is limited by the lateral instability and track irregularities of a railway wagon. In this study, a fo...