About the project
This project will study how overhead line equipment in existing rail networks ages and deteriorates over time when exposed to stronger electric fields and more extreme weather conditions.
Research at the University of Southampton on rail electrification has identified approaches that could significantly reduce civil engineering costs and project timelines. One such approach involves adding insulation components, like reducing the distance between the overhead line and metal footbridges, rather than removing and replacing existing infrastructure or lowering the track bed height.
One key challenge is to develop understanding of the mechanisms of ageing and degradation of key insulation components in an environment where the local electric fields are likely to be higher compared to those for new build circuits. This is important because any solution must be reliable over the long term.
Ideally, it should also be possible to develop online monitoring techniques to assess the health and remaining lifespan of the insulation system. In related research projects we are developing machine learning approaches to inform asset health analyses and a similar approach may prove useful in this case.
You will explore the use of sensors mounted on trains to measure things like surface charge on insulated structures they pass. The sensors will sent the data wirelessly to a central server, which will analyse it and predict any potential issues. This project involves practical measurements as well as development of simulation models and data analysis.
You will be based in the Doctoral Centre for Advanced Electrical Power Engineering, and you will receive training to safely operate high-voltage equipment, including lightning generators and HVAC supplies. In addition, you may study modules from our specialist MSc degree in Electrical Power Systems.
