Readiness-Enhancing Virtual, Adaptive Maintenance Platform (REVAMP)

Due to changes in operational conditions, Navy systems maintainers are being asked to maintain increasingly complex systems with fewer maintainers and less oversight from master maintainers. As a part of Sailor 2025, the Navy is looking for systems that can provide “Ready, Relevant Learning” beyond the schoolhouse, providing continuous and on-the-job training and support systems that enable learning while doing. To address this challenge, we propose to design and demonstrate Readiness-Enhancing Virtual, Adaptive Maintenance Platform (REVAMP), an adaptive on-the-job performance support and training system using Digital Twin technology to increase the effectiveness and efficiency of maintenance repairs, saving time, improving confidence, and reducing errors. REVAMP features: (1) a hybrid-computational architecture to create digital twins that accurately model the systems to be maintained; (2) computational models of maintenance procedures to optimize maintenance recommendations; (3) an adaptive maintenance engine to perform automated analysis of the digital twin, assist troubleshooting, and suggest diagnostic and maintenance actions; (4) a role- and task-adaptive augmented reality intelligent user-interface (AR-IUI) to flexibly present maintenance recommendations and information to the human maintainer and overlay indicators on the actual equipment during maintenance using an AR headset; and (5) logging and secure sharing of maintenance issues and courses of action.