Abstract
Industry 4.0Industry 4.0 promotes product lifecycle management and promises to provide digital models and integrating product lifecycle data. Aviation 4.0Aviation 4.0 addresses the implications of the fourth industrial revolution in the operation and management of aircraftAircraft during their lifecycles. The management of the end of life (EoL) phase of aircraft is essential and contains uncertainty data. The revenue from recovered parts plays an important role in the sustainability of the EoL aircraft businessBusiness. Estimating the operational life of high-value parts is critical in EoL decision-making. This chapter proposes a framework including use of fuzzy simulationFuzzy simulation and digital twinsDigital twin to estimate the remaining useful life (RUL) of recovered parts. The proposed framework contains three digital models including the digital twinsDigital twin of parts health management, disassembly process, and recovered parts. A fuzzy intelligent decision-making model generates the rules based on sensor measurements and operational settings for the estimation of the RUL of a part. The application of the model related to aircraftAircraft engines is discussed.
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