Maya  Heat Transfer Technologies Ltd
Optimization  of Reduced Thermal Models through Machine Learning — Ensuring  that all parts of a spacecraft remain within acceptable temperature limits is  one of the keys to a successful space mission. This involves comprehensive  thermal analysis of each unit and the overall system. However, it is  impractical to include detailed models of every unit in a system model, so  engineers must often supply a reduced thermal model for system-level analysis. This project plans to use machine-learning  methods to create reduced models. A computer will be used to analyze various  options and select the most appropriate reduced model for the component and  environment. A machine-accurate, reduced thermal model will allow for rapid  operational decisions to be made with greater confidence. This would be  especially beneficial for a rover on the surface of the Moon or Mars, where the  environmental threats are continually evolving.