“PANDA being designated as the Air Force’s system of record for CBM+ is a monumental achievement for the RSO and Air Force CBM+ enterprise,” said Chris Damani, RSO CBM+ Program Office Chief. PANDA routinely generates over 30,000 predictive maintenance recommendations and sensor-based alerts detecting impending component failure. PANDA has rapidly expanded to the maintenance operations of 16 aircraft platform communities across all nine Air Force Major Commands.

It maximizes the use of common equipment and technologies to capture, store, analyze, and forward CBM+ predictive maintenance data. CBM+ requires advanced tools and technologies for analysis to formulate evidence of need to perform maintenance.ĭeveloped by the RSO and partner, C3.ai, PANDA is an artificial intelligence software toolkit that delivers integrated and interoperable tools, technologies, and information infrastructures to facilitate CBM+ collaboration across multiple functional and organizational boundaries. The Air Force has designated PANDA as the System of Record for CBM+ and predictive maintenance, the first such designation for the RSO.Ĭondition Based Maintenance Plus (CBM+) is a collaborative Department of Defense readiness initiative focused on data analysis to improve availability and lifecycle cost. WRIGHT-PATTERSON AIR FORCE BASE, Ohio – The Air Force Rapid Sustainment Office’s (RSO) Predictive Analytics and Decision Assistant (PANDA) leverages artificial intelligence software to transform logistics data into actionable predictive maintenance alerts.

By Derek Hardin, Air Force Rapid Sustainment Office

The artificial condition