Japan Airlines Now Using RTX to Improve Predictive Maintenance

Collins Aerospace and Japan Airlines (JAL) announced that JAL will use Collins Aerospace’s Ascentia maintenance performance monitoring solution on its Boeing 787 fleet.

“Ascentia is a valuable addition to our maintenance program,” said Harada Kuniharu, Manager Reliability Group, System Engineering Office at JAL Engineering. “By using Ascentia, we can further improve our maintenance operations and provide our passengers with a safer and even more reliable travel experience.”

The cloud-based predictive maintenance solution uses advanced data analytics and machine learning algorithms to help airlines improve maintenance operations and increase aircraft reliability. By analyzing flight data and maintenance records in real-time, Ascentia can help predict potential maintenance issues and provide recommendations for corrective actions before they occur, which helps to reduce unscheduled downtime and improve aircraft availability.

“Ascentia is designed to help airlines improve their operational efficiency,” said Clotilde Enel-Rehel, executive director for Customer Programs at Collins Aerospace. “Our data-driven solution will provide JAL with predictive maintenance recommendations to optimize their schedule and improving their customers’ experience.”

Collins Aerospace’s Ascentia solution is currently in use by several major airlines around the world and has been shown to improve aircraft reliability and reduce unscheduled maintenance costs by up to 20 percent. Equipping JAL’s Boeing 787 fleet with Ascentia represents a significant milestone for Collins Aerospace as it continues to expand its presence in the Asia-Pacific region.