In present-day mechanical design for space applications, analysis and testing are crucial yet expensive components of the production cycle. As such, correlating the analytical model to the tested product enables companies and researchers to ensure the reliability of the created digital twin, enhancing future design modification capabilities and reducing testing needs. In this master thesis an automated correlation tool is developed in order to reduce times and provide a solid framework for correlating present and future items with reduced modifications. Firstly, a sensor placement algorithm is developed to provide the analyst with meaningful suggestions through an elimination process, and determine useful sensor positions and corresponding FEM nodes.