From Concept to Sky: Transforming Aircraft Engines with AI

GE has been an early adopter of Artificial Intelligence (AI) for the aerospace sector. This presentation highlights application of AI in GE Aerospace to drive positive outcomes in fleet management through anomaly detection, predictive analytics, component inspection and enhanced engine Time-on-Wing. Aircraft Engine Health analytics ecosystem involves acquisition of raw data from jet engines, building data science-based models and converting them into actionable insights for impactful business outcomes. Data science techniques are employed to convert raw data into intelligent data which would be fed into data science-based models for enhanced decision making through anomaly detection and predictive analytics. Next generation inspection technology is developed using Deep learning algorithms to analyze the images and videos that are captured from an engine and assist in fleet monitoring. All this information is fed back into the Analytics Based Maintenance (ABM) tool to enhance predictions for optimized engine maintenance schedule.