|Intelligent Solutions for Improved Mission Readiness of Military UxVs|
|Applied Vehicle Technology|
critical machinery, data analytics, data infusion, dynamic mission planning, physicsbased methods, Proactive maintenance, sensor systems, structural health management, unmanned systems
Unmanned systems (UxVs) are becoming an integral part of our military operations. Availability and reliability of UxVs are critical to mission success. Proactive maintenance, which focuses on detection of incipient fault or damage to discover unknown failure modes, is a key enabler for system availability and reliability. Technology advancements including advanced sensor systems, high-performance computing, physics-based prediction methods, advanced data analytics, and machine learning have opened the door for enhanced situational awareness and proactive, condition-based maintenance. Another element that is critical to mission success of UxVs is the dynamic mission planning capability of UxVs based on current state of the system/platform.
A Research Workshop (RWS) is proposed to assess intelligent solutions for improved mission readiness of military UxVs. At the proposed RWS, the technical team will facilitate intensive information exchange and focussed discussion on the following topics among a number of invited experts: (1) needs and requirements of military UxV operations, (2) technologies that enable proactive maintenance, and (3) approaches for platform and fleet state awareness informing dynamic reconfigurable mission planning approaches and capability. It is proposed that the RWS is to be held during the Spring 2021 AVT PBM in Berlin, Germany.
The proposed RWS is a follow-on activity of AVT-ET-192, entitled “Proactive Maintenance Technologies for Autonomous Military Systems.” This proposed RWS will leverage the results of AVT-305 (Research Specialists’ Meeting on “Sensing Systems for Integrated Vehicle Health Management for Military Vehicles”), AVT-ET-184 (“Physics of Failure for Military Platforms”), and AVT-331 (“Goal-driven, Multi-Fidelity Approaches for Military Vehicle System-Level Design”) to examine the challenges, special requirements, and enabling technologies associated with proactive maintenance technologies for military UxVs. The team will also leverage the on-going efforts as part of The Technical Cooperation Program’s (TTCP) “Naval Exploitation of Energy Data Sets (NEEDS) Collaborative Project” and the naval platform “Structural Health Monitoring Collaborative Project”.
The primary objectives of the proposed RWS are: (1) to identify the challenges and requirements associated with maintenance and mission planning of military UxVs, (2) to assess the current state-of-the-art technology for building proactive maintenance capabilities of unmanned military systems, and (3) to assess the current state-of-the-art reconfigurable mission planning approaches and capability. The team will leverage the results from other existing and related NATO STO and TTCP activities with collaboration from multiple nations and tri-services interested in this topic area.
The proposed RWS will attempt to cover the following scientific topics:
(1) Military needs of UxVs and impacts to military operations
(2) Technologies that enable intelligent and reliability-centered maintenance for UxVs, such as sensing systems; data driven techniques for system state diagnosis, prognosis, and reasoning; data infused physics-based methods for prediction; etc.
(3) Assessment of dynamic reconfigurable mission planning capabilities.
(4) Technologies that enable damage-adaptive and degraded performance maneuver where flight regimes are optimally selected to maximize maintenance-free operation periods