Boeing Flight Data Analytics – Insight Accelerator (IA) plays a key role in predictive maintenance, providing airlines with the ability to quickly identify indicators of part degradation and malfunction. Equipped with this insight, airlines can take proactive measures and schedule maintenance at the optimum time to avoid unplanned maintenance, costly disruption to flight schedules and negative customer experiences.
In late March, the IA team joined their FOQA/FDM colleagues and traveled to Munich where they were invited to present an overview of the solution, and meet with airline representatives from around the world at Aerospace Tech Week. During their presentation, Steve McFeely, Managing Director, Maintenance & MRO Digital Solutions, Boeing Global Services, introduced IA’s role within Boeing’s predictive maintenance ecosystem, covering key capabilities and providing real-world examples of how airlines can leverage the solution to reduce risk, achieve cost savings, and increase operational efficiency.
The audience also learned how IA employs augmented analytics to make advanced technologies, like machine learning and AI, accessible to both expert and citizen data scientists, bringing big data and actionable insights within reach. For operators already using IA, this means that analysis projects that used to require months of effort can now be accomplished in a few days – and with greater quality. In fact, prognostics resulting in up to 90% precision and recall have been recognized, translating in some examples to reductions in inspection costs of over 80%.
If you would like to learn how your operation could benefit from IA’s tailored prognostic creation and alerting for predictive maintenance, visit our webpage or contact your Boeing sales representative today.