The Diagnostics and Prognostics (D&P) group investigates system health management technologies relevant to NASA missions.
Within diagnostics, we are focusing on developing model-based technology for detection, isolation, and identification of discrete and continuous faults. Utilizing a large electric power distribution system that mimics one that one would find on an aircraft or spacecraft, we have benchmarked different diagnosis algorithms performance with hardware-in-the-loop. We have also investigated metrics for diagnostics to compare different diagnostic algorithms.
Within prognostics, we are currently investigating damage detection and propagation mechanisms in various components, such as batteries. Previous work centered on select safety-critical actuators for transport-class aircraft, critical electrical and electronic components in avionics equipment, and valves used in cryogenic fueling operations. Data collected from aging processes is made available to the research community in a public data repository. In addition, we investigate prognostics metrics that will allow a proper comparison of different prognostic approaches. Current work involves extending prognostics approaches to monitoring and predicting safety in the National Airspace System.
Beyond diagnostics and prognostics, we are investigating health management systems, including decision-making algorithms that take system health information into consideration for advanced reconfiguration strategies.
The D&P group is the steward of NASA's Prognostics Center of Excellence, whose mission is to advance state-of-the-art technology development for remaining life estimation and related topics. Please check the PCOE website.
Idaho National Lab
Iowa State University
Penn State ARL
Qualtech Systems, Inc.
Scientific Monitoring, Inc.
University of Connecticut
University of Maryland
Jonny da Silva