A configuration and optimization method for civil aircraft maintenance resources

2018 ◽  
pp. 37-42
Author(s):  
Z.Y. Jia ◽  
D.N. Dong ◽  
C.H. Zeng ◽  
X.C. Zheng ◽  
Y.F. Nan



Author(s):  
Anand K. Gramopadhye ◽  
David Kraus ◽  
Pradeep Rao ◽  
Daniel Jebaraj

Research on civil aircraft inspection and maintenance has shown the importance of teamwork in completing aircraft inspection and maintenance tasks. Training has been identified as one of the primary intervention strategies in improving team performance. If training is to be successful, it is clear that we need to provide aircraft maintenance technicians (AMTs) with training tools to help enhance their team skills and improve team performance within the aircraft inspection/maintenance environment. In response to this need, this paper describes the development of a computer-based multimedia team training tool, the Aircraft Maintenance Team Training (AMTT) software.



Author(s):  
Zhang Xiao-bo ◽  
Wang Zhan-xue

In this paper, a double bypass variable cycle engine with FLADE (Fan on Blade) is considered. The FLADE VCE is one of the research hotspots for future military and civil aircraft power device, which shows outstanding performance advantages. Compared to the mixed-flow turbofan, FLADE VCE is more complex than conventional aero-engine for its multi-components and multi-variable parts, which make it difficult to modeling and optimization. For getting the performance of FLADE VCE, the model for engine performance simulation is researched. The method for FLADE performance simulation and the steady-state performance simulation model for FLADE VCE are developed. And a component-based engine performance simulation system is established based on object-oriented modeling method. For obtaining the optimal integrated performance of FLADE VCE, suitable optimization method is required. Unfortunately, the optimization of FLADE VCE is a non-linear non-differentiable problem, which makes it difficult to solve by conventional deterministic optimization method. In order to solve this problem, the differential evolution (DE) algorithm is considered. To overcome the limitations of original DE algorithm, an improved DE algorithm with modifying mutation operator is proposed by this paper. The FLADE VCE optimization problem is solved by employing the improved DE algorithm.



2013 ◽  
Vol 13 (16) ◽  
pp. 3354-3357 ◽  
Author(s):  
Jia Baohui ◽  
Xu Chunhui ◽  
Li Yaohua




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