- The document discusses using a digital twin approach to optimize availability for complex systems like vehicles or electronics. - A digital twin is a simulation that mirrors a physical system using models, sensor data, and other information to monitor and predict performance. - For electronics, failures are often rare and complex, so a digital twin must integrate all available data and knowledge from past and current systems to learn across different operating conditions and account for uncertainty. - The case study describes using a digital twin to predict failure modes in power converters based on past failure data under various conditions to optimize maintenance strategies and minimize life cycle costs for new systems.