Research is being conducted on various methods for fault detection and diagnosis in systems such as gas turbines, power systems, and wind turbines. Different approaches are being explored, including the use of machine learning models, neural networks, and digital twins. The specific techniques and applications being studied appear to be diverse, with some focusing on propulsion systems, others on smart grid transformation, and others on wind turbine production.