Systecon has received a contract modification from the U.S. Army to continue deploying an analytics tool that could enable the service to perform predictive maintenance and improve operational readiness of its fleet of military vehicles and related platforms, GovCon Wire has learned.
The company said Friday it will support a brigade level-operational unit by fielding the predictive analytics software prototype developed through the Army’s Prognostics and Predictive Maintenance project.
In May, Systecon announced that it was selected by the Army to facilitate the deployment of the technology to provide updates on maintenance needs of the military branch’s vehicles and associated hardware.
During a one-year performance period, the company developed the prototype in a Microsoft Azure GovCloud environment using all data available to the Army Materiel Command Analysis Group.
The prototype uses artificial intelligence algorithms and conducts topological data analysis to present actionable information through a customized dashboard. The platform-agnostic algorithms use kinematic data, external condition variables and data derived from platform sensors to detect system failures and determine the equipment’s remaining useful life.
Systecon said the predictive analytics model built through the PPMx initiative recorded a training accuracy of 95 percent with an error rate of 3 percent when it comes to predicting fully mission-capable and nonmission-capable occurrences.