Predictive Maintenance on Aircraft and Applications with Digital Twin
Sam Heim, Jason Clemens, James E. Steck, Christopher Basic, David Timmons, Kourtney Zwiener
Abstract
The concept of predictive maintenance in aiding the manufacturing and operation of equipment is moving several industries forward, allowing for a more detailed description and justification of maintenance routines. This paper provides several methods of describing the remaining useful life of given parts for aircraft maintenance through two separate aircraft data sets. It is then shown how these results, in conjunction with a digital twin model, can be used to aid in designing a sufficiently stable supply chain and maintenance strategy.
Topics & Concepts
Predictive maintenanceAircraft maintenanceComputer scienceMaintenance engineeringReliability engineeringSupply chainConjunction (astronomy)EngineeringAeronauticsLawPhysicsAstronomyPolitical scienceManufacturing Process and OptimizationReliability and Maintenance OptimizationMachine Fault Diagnosis Techniques