Researcher
CurrentSociety's increasing reliance on electronic components demands higher reliability standards. However, shorter product life cycles and extensive testing processes dominate development projects. This PhD aims to enhance reliability design by leveraging data-driven methods, particularly machine learning, to predict the remaining useful lifetime (RUL) of electronic systems. By integrating data from both real and virtual sensors, alongside usage history, the research seeks to overcome limitations of… Show more Society's increasing reliance on electronic components demands higher reliability standards. However, shorter product life cycles and extensive testing processes dominate development projects. This PhD aims to enhance reliability design by leveraging data-driven methods, particularly machine learning, to predict the remaining useful lifetime (RUL) of electronic systems. By integrating data from both real and virtual sensors, alongside usage history, the research seeks to overcome limitations of purely simulation-based approaches. The ultimate goal is to develop a real-time RUL assessment model validated on a representative board, paving the way for improved methodologies and guidelines for complex systems. Show less
