CALCE and QSI Invited for ARMY STTR Phase II
CALCE was awarded, with Qualtech Systems Inc., a STTR titled “Dynamic Data-Driven Prognostics and Condition Monitoring of On-board Electronics”. This is a 3 year STTR with the US Army. The project objectives are to implement a two-tiered failure prognostics approach; the first tier performs parameter forecasting, and the second tier identifies the type of fault and its source. The project aims to utilize temporally adaptive decision fusion techniques for fusing evidence and probabilistic outcomes from parametric predictions.
The guidance, navigation and control systems (GN&C) of modern military mobile war fighting platforms such as manned or unmanned, ground, air, surface-water or under-water military vehicles is the brain of such platforms. The GN&C system for an unmanned aerial vehicle is the platform of choice for this prognostics effort.
Phase-I focused on developing accurate data-driven prognostics algorithms, and developing supporting information processing and diagnostics algorithms for electronics systems. A two pronged data-driven prognostic approach that forecasts the observations (in fast time scale) and performs feature/decision (slow time scale) fusion using temporally adaptive techniques was proposed to provide more accurate glimpse of the future operational capabilities of the system. The Phase I was a success and the Army has indicated that Phase II may be awarded soon.