IMPLEMENTATION OF MACHINE LEARNING TECHNIQUES FOR PROGNOSTICS FOR RAILWAY WHEEL FLANGE WEAR

development and implementation of an optimized control strategy for induction machine in an electric vehicle

in the area of automotive engineering there is a tendency to more electrification of power train. in this work control of an induction machine for the application of electric vehicle is investigated. through the changing operating point of the machine, adapting the rotor magnetization current seems to be useful to increase the machines efficiency. in the literature there are many approaches wh...

A Study to Predict the Development of Wear for the Wheel/interface of a Railway Track

The train transport is often confronted with greatly repeated changes in scope, vehicle travel well-being and transport safety because of the adjustments of wheel and rail profiles. These problems are frustrating and threatening. Thus, there is a requirement for an approach to predicting the wear of wheel/rail to tackle these problems. A new theoretical ground is broken through the build-up a m...

Development of Intelligent Techniques for Machine Prognostics

The prognostic system plays a crucial role in estimating the remaining useful life of machine components and forecasting of the future states of machines. The techniques related to prognostics consist of statistical-based, model-based, and data driven or intelligence-based. Among these, artificial intelligence is commonly used due to its flexibility in generating appropriate models for the fore...

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 ...

New Ultrasonic Techniques for Detecting and Quantifying Railway Wheel-Flats