The field of fault diagnostics for electrical systems is constantly evolving to improve overall system reliability. Recent advances in the Artificial Intelligence (AI) methodologies have opened new doors for researchers to investigate strategies that leverage Machine Learning (ML) and Deep Learning (DL) for fault diagnostics techniques. This research topic explores novel approaches in fault diagnostic techniques using DL for power converters with a large number of switches, like multilevel converters, to develop efficient and effective approaches for improved overall system reliability.