A HIGH-PERFORMANCE DATA TO DECISION SOLUTION FOR ALL ECHELON PARTICIPATION IN ARMY GROUND VEHICLE PPMX

As the Army leverages Prognostic and Predictive Maintenance (PPMx) models to migrate ground vehicle platforms toward health monitoring and prescriptive maintenance, the need is imminent for a pipeline to quickly and constantly move operational and maintenance data off the platform, through analytic models, and push the insights gained back out to the edge. This process will reduce data-to-decision time and operation and sustainment costs while increasing reliability for the platform and situational awareness for analysts, subject matter experts, maintainers, and operators. The US Army Ground Vehicle Systems Center (GVSC) is collaborating with The US Army Engineer Research and Development Center (ERDC) to develop a system of systems approach to stream operational and maintenance data to appropriate computing resources, collocating the data with DoD High-Performance Computing (HPC) processing capabilities where appropriate, then channeling the generated insights to maintainers and operational decision makers where this decision support will have the greatest impact. The team has accomplished proof of concept or prototyping for several foundational components of the system and has demonstrated the effectiveness of combining data analytics with high-performance computing on large data in discovering and developing PPMx models.

Citation: W. Glenn Bond, Andrew Pokoyoway, David Daniszewski, Cesar Lucas, Thomas L. Arnold, Haley R. Dozier, “A High-Performance Data to Decision Prototyping Solution for All Echelon Participation in Army Ground Vehicle PPMx”, In Proceedings of the Ground Vehicle Systems Engineering and Technology Symposium (GVSETS), NDIA, Novi, MI, Aug. 10-12, 2021.