Prognostics and Health Management (PHM) for Digital Electronics Using Existing Parameters and Measurands Navy SBIR FY2005.2 Sol No.: Navy SBIR FY2005.2 Topic No.: N05-093 Topic Title: Prognostics and Health Management (PHM) for Digital Electronics Using Existing Parameters and Measurands Proposal No.: N052-093-0040 Firm: Ridgetop Group, Inc. 6595 North Oracle Road Suite 153B Tucson, Arizona 85704-5645 Contact: James Hofmeister Phone: (520) 742-3300 Web Site: www.Ridgetop-Group.com Abstract: The identification and development of sensors for monitoring environmental conditions, for detecting incipient faults, and for detecting precursor-to-failure trigger points is one aspect of Prognostic Health Management (PHM) for the Joint Strike Fighter (JSF). Another important aspect is to collect the set of sensor output data and to analyze that set of data using realistic and verifiable prognostic models to arrive at a reliability prediction that can be accurately related to the Remaining Useful Life (RUL) of a part, component, sub-assembly or assembly, such as those found on a Joint Strike Fighter. The objectives of this SBIR are to define techniques and processes to relate RUL predictions to detectable fault conditions; determine the feasibility of developing advanced models and statistical techniques; develop a prototype model/programs for a specific JSF subsystem application and its electronic boards; develop an initial list of required available inputs to the models; outline a method of extracting inputs from a particular subsystem and board; and define user interfaces. Benefits: The purpose of this SBIR is to develop a reliability prediction tool related to Remaining Useful Life, based on models and statistical techniques for a specific JSF subsystem and electronic board. This work is to be integrated into an existing Ridgetop PHM System, which already has Data Fusing, Bayesian Network support and a friendly, graphical user interface (GUI). This SBIR adds capabilities that expands and enhances the PHM System, which increases the value and the viability of that system as an important participant in Autonomic Logistics System. Return