ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Refined management of fleet life driven by digital twins
Received date: 2024-09-30
Revised date: 2024-11-18
Accepted date: 2025-02-10
Online published: 2025-02-25
Supported by
National Defense Basic Research Program(JCKY2021205B003)
With the prominence of aircraft flight safety guarantee and the development of single aircraft life monitoring technology， the intelligent and meticulous management of aircraft fleet life has become a key concern. This paper addresses the maintenance planning and flight training planning， the two key elements in the life management of fleet. Firstly， based on the physical information of real-time health status of aircraft structures， a maintenance planning model driven by digital twins is established with the planning objective of maximizing the utilization rate of maintenance resources and fleet retention rate and the constraints of the remaining life and simultaneous maintenance ability of each aircraft structure. Secondly， based on the life loss information， a digital twin-driven flight training planning model is established with the life loss balance and remaining service life of key parts as planning objectives， and the maintenance time and flight training tasks of each aircraft as constraints. By integrating the above models， a set of high-fidelity and refined management method of cluster life is formed， and the practical engineering application of this management method is demonstrated by constructing cluster data.
Yuxuan GU , Cong GUO , Lei HUANG , Yifei DONG , Hongda DONG , Zhilun DENG . Refined management of fleet life driven by digital twins[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2025 , 46(19) : 531290 -531290 . DOI: 10.7527/S1000-6893.2025.31290
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