Data-driven maintenance priority recommendations for civil aircraft engine fleets using reliability-based bivariate cluster analysis

The modern civil aircraft engine is a type of highly complex engineering system in design, manufacturing, and life-cycle management. They are constantly operated under extreme critical conditions, yet, high reliability safety top priorities the aviation industry. To ensure performance efficiency operations, engines follow modular design. This article intends to apply data-driven cluster analysis real-life operation data for fleets, which provides module maintenance priority recommendation solution increase operations best use values.