Prognostic Monitoring and Condition Reporting for Remote Multi-Mission Vehicle (RMMV) Subsystems Navy SBIR FY2015.1 Sol No.: Navy SBIR FY2015.1 Topic No.: N151-056 Topic Title: Prognostic Monitoring and Condition Reporting for Remote Multi-Mission Vehicle (RMMV) Subsystems Proposal No.: N151-056-0329 Firm: Metron, Inc. 1818 Library Street Suite 600 Reston, Virginia 20190 Contact: Gordon Clark Phone: (703) 326-2880 Abstract: As unmanned vehicles (UxVs) become an increasingly integral part of the US Navy, prevention and mitigation of system failures are becoming increasingly critical challenges. During operations, UxVs should be capable of self-monitoring, taking corrective actions, and, where possible, notifying remote human operators of faults. At the same time, operators should have access to data and prognostic models that enable effective conditions-based maintenance and use planning. For RMMV, Metron Inc. will develop a multi-faceted prognostic health solution integrating software systems for condition reporting and fault detection with advanced prognostic modeling. For prognostic modeling, data on failures, degradation, and stressors collected through testing, maintenance, and during operations will be combined with physical and/or empirical models. For fault monitoring, conditions data will be collected autonomously during operations and be available to on-board systems and off-board operators. Off-board analysis tools will then enable visual and quantitative assessments, while on-board mitigation software will enable continued operations under degrading, but non-catastrophic, faults. Overall, this RMMV health solution will ensure system reliability and availability are maximized, maintenance and repair schedules are optimized, and failures experienced during operations are effectively managed. Benefits: Unmanned systems benefit the warfighter when they increase safety, reduce mission costs, and increase force capabilities. Metron will reinforce and expand these benefits for RMMV by creating tools for effective prognostic and conditions monitoring. Use of these tools will ensure long-term vehicle health by enabling real-time detection of RMMV system and subsystem faults, accurate understanding of current and predicted states, optimization planning to mitigate degraded performance, rapid fault diagnosis, and efficient, targeted, condition based maintenance and use planning. This solution will reduce support labor requirements, reduce vehicle maintenance costs, increase operational availability, and increase the likelihood of continued operations under fault conditions. Moreover, these tools will create a generalizable solution for improving safety and operational assurance across the unmanned systems domain, including throughout the government and commercial sectors. Return