RIIS Wins STTR R&D Contract with US Air Force to Improve Predictive Maintenance

RIIS has partnered with University of North Texas (UNT) to win a Small Business Technology Transfer Research (STTR) Phase I contract with the US Air Force (USAF). This is an exciting win for RIIS because it combines our Data Science capabilities with UNT chemical sensing capabilities to improve maintenance predictability in our product called Augmented Maintenance Prediction (AMP).

AMP augments traditional maintenance predictions with an understanding of what is actually happening within the machine. Collectors are placed at different points on the machine either before, during or after use and the chemistry associated with mechanical decomposition is collected. Advanced analytics is then performed to predict which parts are most likely to fail and plans for maintenance are made accordingly.