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Research

Real-Time Condition Monitoring Suite

RCMS-RP1-Defects Detection of Access-Constrained Rail Foots , Contacts and Joints using Thermo-acoustic Sensor Technology

RCMS-RP2-Enhanced Fault Identification of Train Door Response using Advanced Sensor System

RCMS-RP4-Defect Detection of Railway Electrification System through Non-Contact RF Induction Technology

RCMS-RP5-Vibration Monitoring of Railway Structure with Wireless MEMS-Based Accelermeters Technology

RCMS-RP6-Structural Health Monitoring of Mechanical Power Transmission with Customised 3D Printed Sensor

RCMS-RP7-Automated Inspection System for Train Wheel and Axle Defects

RCMS-RP8-Underground Spectrum Monitoring for Interference Mitigation and Link Reliability Insurance for Existing and Future Systems

RCMS-RP9-Monitoring the Operation Condition of RFID Tags on Rail Sleepers

RCMS-RP10-Detection of Early Sign of Current Collector Device Abnormality Through Inductive Coupling Method

RCMS-RP11-Virtual Reality (VR) Training Simulator for Shunting of Engineering Trains (VR-TSST)

Enchancements to Integrity and Reliability of Rail Assets

EIRRA-RP1-Research on Reliability Assessment on Remanufacturing of Worn Rail and Wheels for Life Extension

EIRRA-RP2-Wear Life Characterization and Enhancement for Rails and Wheels Performance

EIRRA-RP3-Reliability Centered Maintenance Approach to Optimize Train and Track Systems

EIRRA-RP4-Rail Break Failure Analysis by Fracture Mechanics Methodology

EIRRA-RP5-Vibration Analysis Modelling and Simulation of Track-form Structure

EIRRA-RP6-3D Stress Analysis Modelling of Track-Sleeper Ballast Structural System

EIRRA-RP7-Rolling Contact Fatigue Analysis for Predicting Crack Initation and Propagation

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Last modified on 23-Apr-2020