The Remote Prognostics Lab focuses on developing novel methods for real time diagnostics and prognostics of complex systems. The team uses models based on first principles, complemented with semi-empirical models where necessary, to identify impending failures and to forecast performance losses. The goal is to improve the reliability, availability, and performance of high-value equipment such as gas turbines, steam turbines, generators, wind turbines, fuel cells and coal plants. A current focus of the lab is on real-time reduced order modeling for failure prediction and advanced sensor application for diagnostics and prognostics. The Lab has state-of-the-art plant simulation equipment.