Predictive Condition-Based Maintenance for High-Powered Phased Array Radar Systems

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.