Embedded Cognitive Bayesian Prognostic Health Management for RPA Propulsion Systems
Small Business Information
Management Sciences, Inc.
6022 Constitution Avenue NE, Albuquerque, NM, -
AbstractABSTRACT: MSI has an impressive history of developing aircraft propulsion system health monitoring systems. We have developed a new technology, a"smart connector"which reduces the size from a circuit card assembly to a small module that fits inside a rugged mil-spec 38999 propulsion system electrical connector. We have support of a military RPA propulsion system manufacturer and propose a SBIR effort that will prototype and demonstrate an embeddable Propulsion Health Management (PHM) approach utilizing the Smart Connector. Our focus will be to exploit the advanced diagnostic and prognostic algorithms used in Smart Connectors for PHM systems of military ground vehicles, and aircraft structural and avionic systems to legacy RPA propulsion systems, controls, and vehicles operated under harsh or off-design conditions. BENEFIT: The use of RPA by the military and commercial has increased over time as they assuming greater operational roles CONUS and OCONUS. Because of its low weight and cost dual use applications for the embedded technology will have large dual use potential. For the military applications include RPA with small and Large RPA Engines. For commercial and non-defense the product will have application in drones, RPA and heavy lift unmanned helicopters used by law enforcement, search and rescue, oil and gas companies, and many more that employ or will employ RPA with large engines. The technology is not limited to unmanned aircraft and has similar application to ground and on-line commercial aircraft PHM Systems.
* information listed above is at the time of submission.