An Optimization Method for Condition Based Maintenance of Aircraft Fleet Considering Prognostics UncertaintyReport as inadecuate

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The Scientific World Journal - Volume 2014 2014, Article ID 430190, 8 pages -

Research Article

School of Reliability and Systems Engineering, Beihang University, Beijing, China

Sichuan jiuzhou Aerocont Technologies Co. Ltd., Mianyang, China

Received 28 February 2014; Accepted 19 March 2014; Published 17 April 2014

Academic Editors: N. Barsoum, V. N. Dieu, P. Vasant, and G.-W. Weber

Copyright © 2014 Qiang Feng et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.

Author: Qiang Feng, Yiran Chen, Bo Sun, and Songjie Li



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