title: An optimization method for condition based maintenance of aircraft fleet considering prognostics uncertainty.
abstract: An optimization method for condition based maintenance (CBM) of aircraft fleet considering prognostics uncertainty is proposed. The CBM and dispatch process of aircraft fleet is analyzed first, and the alternative strategy sets for single aircraft are given. Then, the optimization problem of fleet CBM with lower maintenance cost and dispatch risk is translated to the combinatorial optimization problem of single aircraft strategy. Remain useful life (RUL) distribution of the key line replaceable Module (LRM) has been transformed into the failure probability of the aircraft and the fleet health status matrix is established. And the calculation method of the costs and risks for mission based on health status matrix and maintenance matrix is given. Further, an optimization method for fleet dispatch and CBM under acceptable risk is proposed based on an improved genetic algorithm. Finally, a fleet of 10 aircrafts is studied to verify the proposed method. The results shows that it could realize optimization and control of the aircraft fleet oriented to mission success.
authors.affiliation: School of Reliability and Systems Engineering, Beihang University, Beijing, China.
authors.forename: Qiang
authors.identifier: 0000-0003-2454-7839
authors.initials: Q
authors.lastname: Feng
authors.affiliation: School of Reliability and Systems Engineering, Beihang University, Beijing, China.
authors.forename: Yiran
authors.initials: Y
authors.lastname: Chen
authors.affiliation: School of Reliability and Systems Engineering, Beihang University, Beijing, China.
authors.forename: Bo
authors.initials: B
authors.lastname: Sun
authors.affiliation: Sichuan jiuzhou Aerocont Technologies Co. Ltd., Mianyang, China.
authors.forename: Songjie
authors.initials: S
authors.lastname: Li
mesh_terms: D000465:Algorithms; D001359:Aviation; D011379:Prognosis; D018570:Risk Assessment; D035501:Uncertainty