This 5-year project funded by NASA Aviation Safety Program started in 2007 and has been  presently  extended through Year 4 in 2010. Mitek Analytics LLC is on the team with Stanford University. The team is led by Professor Stephen Boyd at Information Systems Laboratory in Electrical Engineering department and is working on optimization-based estimation with application to aircraft systems.

The team of Stanford University (as the lead) and MitekAn (as a sub) is performs the 5-year project, “Robust Optimal Estimation of Hybrid System States for Diagnosis and Prognosis of Aircraft Systems” funded by NASA Aviation Research Mission Directorate (ARMD) as part of the Aviation Safety Program (AvSP)  Integrated Vehicle Health Management (IVHM) project. The highly competitive program award was made in the beginning of 2006; expected project completion is in 2012. The fundamental technology development for this project is in the area of detection, estimation, and forecasting  using on-line constrained optimization. The NASA IVHM project develops fundamental algorithms for diagnostics and prognostics in hybrid system setting where some of the estimated variables (faults) are discrete and some are parametric. Initial application was to the NASA testbed of aircraft electric power systems (EPS) shown in the picture, where accurate real-time diagnostics of simultanenous mutiple discrete and parameteric faults was  experimntally demonstrated.  Current work is focused on data driven anomaly detection and forecasting in large ~10Tb databases of aircraft FOQA (Flight Operations Quality Assurance) data.