基于遗传算法的民用航空发动机送修方案决策研究

赵洪利; 陈铎文; 张智华

doi:10.13224/j.cnki.jasp.2017.08.020

基于遗传算法的民用航空发动机送修方案决策研究

doi: 10.13224/j.cnki.jasp.2017.08.020

1.
中国民航大学航空工程学院，天津 300300
2.
中国民航大学中欧航空工程师学院，天津 300300

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出版历程
- 收稿日期: 2016-07-06
- 刊出日期: 2017-08-28

Research of civil aviation engine overhaul workscope based on genetic algorithm

摘要

摘要: 为了给航空发动机在整个使用周期内送修方案的制定提供支持，降低发动机使用周期内的大修成本，针对单元体结构的民用航空发动机，基于制造商的发动机维修管理大纲，同时考虑时寿件寿命和单元体超出软时限导致性能衰退而造成发动机送修的情况，设定大修间隔不超过最大送修间隔，建立了一种以送修时间间隔为优化变量，以单位飞行小时送修成本最小为优化目标的发动机大修成本优化模型。采用遗传算法对模型进行求解，并以V2500发动机为例，对其25年里多次返厂送修方案进行了优化，表明当送修次数为6次时返厂大修成本最低，并给出了相应的各单元体的修理级别，该方法可为航空公司制定发动机送修方案提供参考。
- 大修成本优化 /
- 单元体 /
- 时寿件 /
- 送修时间间隔 /
- 大修范围 /
- 遗传算法
Abstract: To support the creation of engine overhaul workscope during its life cycle, and reduce the overhaul cost in its life cycle, based on the engine maintenance management program provided by manufactures, by setting the overhaul interval which is less than the maximum overhaul interval, and taking account of the life of life limited parts and soft time of modules, an engine overhaul cost optimization model was presented in the paper for a modular engine, which took the overhaul interval as the variable and the least shop visit cost per flight hour as a target, the genetic algorithm was used to solve this optimization problem. Taking V2500 as an example, its shop visit workscope was optimized, it gave that 6 shop visits in 25 years have the lowest cost, and the repair levels of each module were also created for each shop visit. It can provide a reference method for airlines to make engine workcope for shop visit.
- overhaul cost optimization /
- module /
- life limit part /
- overhaul time interval /
- workscope /
- genetic algorithm

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参考文献(17)

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