Predictive Condition-Based Maintenance for High-Powered Phased Array Radar Systems Navy SBIR FY2014.1 Sol No.: Navy SBIR FY2014.1 Topic No.: N141-054 Topic Title: Predictive Condition-Based Maintenance for High-Powered Phased Array Radar Systems Proposal No.: N141-054-0871 Firm: Frontier Technology, Inc. 75 Aero Camino, Suite A Goleta, California 93117-3134 Contact: Stuart Fowler Phone: (256) 715-6680 Web Site: www.fti-net.com Abstract: Frontier Technology, Inc. (FTI) will develop an innovative, predictive condition-based radar maintenance forecaster for high-powered radar systems to reduce maintenance costs and increase operational availability. The ultimate goal is innovative condition-based maintenance technology that can use adaptive learning techniques to "understand" component interdependencies and can accurately predict component failure of radar transmitters based on all available parametric data and well in advance of system degradation or loss of service. To meet this objective, FTI will apply a foundation of data fusion, advanced diagnostics and predictive analytics technologies that have been successfully applied to combat systems and their components. This technology foundation provides infrastructure and software architecture supporting the ability to monitor critical system components in real-time, detect indicators of future failures, diagnose the underlying root cause, analyze time-to-failure and mission impact, recommend remedial action and report results to interested stakeholders/systems. At the completion of Phase I, the FTI team will have developed a concept for a predictive condition-based radar maintenance forecaster, demonstrated the feasibility of the concept in meeting Navy needs and established how the technology can be transitioned into fleet operations. Benefits: The innovation resulting from this research will have direct impact on any enterprise that has a need to increase system availability and performance of complex electronic and electro-mechanical systems. While radar and similar systems are the initial beneficiaries, the ability to utilize all available data to determine system status and future remaining useful life and mission/business impact, other industry segments will benefit from the technology developed under this SBIR Phase I research. Because the technology relies only on existing system data as the basis for analysis of system future performance, it can be easily and cost-effectively adapted to a variety of systems and environments. The dual nature of the technology enables it to be used both as part of a real-time monitoring system or within a support or sustainment infrastructure. The result is optimum use of complex equipment while minimizing unplanned failures and reducing impact on mission or business success. Return