Military Embedded Systems

U.S. Army seeks to predict faults in military operating systems


March 02, 2017

Mariana Iriarte

Technology Editor

Military Embedded Systems

An Army specialist overhauls a generator. Photo by Sgt. Margaret Taylor, courtesy of U.S. Army

CAMBRIDGE, Mass. U.S. Army engineers will leverage Charles River Analytics' Figaro technology as part of continuing research efforts to apply autonomous reasoning to improve mission performance. Under two contracts with the company, the U.S. Army aims to predict faults in military operating systems.

Under the Energy Models of Critical Components effort (E-MC2), Charles River engineers are designing a resource monitoring, energy prediction, and decision-support tool that uses probabilistic reasoning to construct and learn models of complex, real-world systems. Using E-MC2’s models, commanders will receive notifications on possible resource consumption issues. The end-goal for the Army is seeking effective management of energy and supply resources that are needed to train, move, and sustain forces, and systems in military operations

Under the Probabilistic Operations Warranted for Energy Reliability Evaluation and Diagnostics (POWERED) effort, Charles River engineers are using rich, modular probabilistic modeling to report on the reliability of back-up generators. The goal is to avoid power failures in critical situations. The Army also seeks modeling tools that provide prognostics and diagnostics for backup power equipment.

“We’re using the flexibility of Figaro in these two efforts,” says Dr. Avi Pfeffer, Chief Scientist at Charles River and developer of Figaro. “Figaro lets us quickly assemble models of interacting components that use a combination of physics-based, heuristic, and data-driven reasoning. In E-MC2, we are using Figaro to build models of energy consumption and resource usage. In POWERED, Figaro will provide detailed models of power generator health and status.”

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