航空发动机全寿命维修概率建模与仿真

孙见忠; 易杨; 文洪; 王鹏; 邵传金

doi:10.13224/j.cnki.jasp.20210160

航空发动机全寿命维修概率建模与仿真

doi: 10.13224/j.cnki.jasp.20210160

1.
南京航空航天大学民航学院，南京 211106
2.
中国东方航空江苏有限公司培训中心，南京 211113
3.
中国航空发动机集团有限公司商用航空发动机有限责任公司，上海 200241

基金项目: 国家自然科学基金（91860139， 52072176）

详细信息

作者简介:
孙见忠（1983-），男，副教授，博士，主要从事航空发动机健康管理与维修工程研究。

中图分类号: V232.4
计量
- 文章访问数: 146
- HTML浏览量: 9
- PDF量: 76
- 被引次数: 0
出版历程
- 收稿日期: 2021-04-09
- 刊出日期: 2022-03-28

Life cycle probabilistic modeling and simulation of aero-engine maintenance

1.
College of Civil Aviation，Nanjing University of Aeronautics and Astronautics，Nanjing 211106，China
2.
Training Center， China Eastern Airlines Jiangsu Limited，Nanjing 211113，China
3.
Commercial Aircraft Engine Company Limited，Aero Engine Corporation of China，Shanghai 200241，China

摘要

摘要: 由于生产制造、运行环境和使用条件等个体性差异，航空发动机部件性能/寿命不确定，进一步导致机队送修率和小时维修费率等运维指标不确定。为了量化评估部件设计可靠性、运行环境、维修决策等不确定性因素对机队运维指标（送修率、送修原因、平均拆换时间间隔、小时维修费率等）的影响，提出了一种航空发动机全寿命周期维修概率建模方法。该方法基于不同环境下各潜在送修原因的寿命分布，结合维修决策规则和维修任务成本，通过离散事件仿真，对发动机进行全寿命周期维修事件概率建模。以典型民用大涵道比涡扇发动机为仿真对象，3种运行环境下发动机送修率均值分别是0.029 1、0.038 4和0.059 8，单位飞行小时维修成本分别为每飞行小时82、91和119美元，综合部件设计可靠性与维修决策对运维指标的影响，结果证明所提出建模方法可行性和有效性。
- 维修概率建模 /
- 维修决策 /
- 蒙特卡洛仿真 /
- 小时费率 /
- 离散事件仿真
Abstract: In order to evaluate the impact of different component design reliability，different operating environments and maintenance decisions on fleet operation and maintenance indicators （shop visit rate，shop visit cauce，mean time between removal，rate per flight hour，etc.），a model method for the probabilistic repair of aero-engine life cycle was proposed.Based on the life distribution of the potential reasons for repairs in different environments，and combined with maintenance decision rules and maintenance task costs，this method was employed to model the life cycle maintenance event probability of the fleet through discrete event simulation and Monte Carlo sampling.A simulation study was carried out on a typical commercial turbo fan engine.Under three different operating environments，the average shop visit rates of engines were 0.029 1，0.038 4 and 0.059 8，respectively，and the rates per flight hour were 82，91 and 119 dollars per flight hour，respectively.The simulation results showed the effectiveness of the proposed method.
- maintenance probabilistic modeling /
- maintenance strategy /
- Monte Carlo simulation /
- rates per flight hour /
- discrete event simulation

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参考文献(20)

[1]	WIBOWO A,TJAHJONO B,TOMIYAMA T.Designing contracts for aero-engine mro service providers:models and simulation[J].Procedia CIRP （The International Academy for Production Engineering）,2017,59：246-251.
[2]	WONG J S,SCANLAN J P,ERES M H.Modelling the life cycle cost of aero-engine maintenance[R].Belfast,Northern Ireland:the 15th ISPE （International Society of Productivity） International Conference on Concurrent Engineering,2008.
[3]	MULLER M,STAUDACHER S,FRIEDL W H,et al.Probabilistic engine maintenance modeling for varying environmental and operating conditions[R].Glasgow,UK:Turbo Expo:Power for Land,Sea,and Air,2010.
[4]	ACKERT S.Engine maintenance concepts for financiers [EB/OL].[2020-12-10].http:∥www.aircraftmonitor.com/uploads/1/5/9/9/15993320/keeping_score_analysis_of_an_engine%E2%80%99s_sv_v1.pdf.
[5]	STRANJAK A,DUTTA P S,EBDEN M,et al.A multi-agent simulation system for prediction and scheduling of aero engine overhaul[R].Estoril,Portugal:the 7th International Joint Conference on Autonomous Agents and Multiagent Systems （AAMAS）,2008.
[6]	MAYORDOMO A F,GHOBBAR A,GHIJS S,et al.Engine management:a decision support tool for strategic engine maintenance planning[R].Fort Worth,US:the 10th AIAA Aviation Technology,Integration,and Operations （ATIO）,2013.
[7]	SPIELER S,STAUDACHER S,FIOLA R,et al.Probabilistic engine performance scatter and deterioration modeling[J].Journal of Engineering for Gas Turbines and Power,2008,130（4）:150-158.
[8]	KRAFT J,SETHI V,SINGH R.Optimization of aero gas turbine maintenance using advanced simulation and diagnostic methods[J].Journal of Engineering for Gas Turbines and Power,2014,136（11）:111601.1-111601.10.
[9]	CROCKER J,KUMAR U D.Age-related maintenance versus reliability centered maintenance:a case study on aero-engines[J].Reliability Engineering and System Safety,2000,67（2）:113-118.
[10]	BURKETT M A.DM Trade:a Rolls-Royce tool to model the impact of design changes and maintenance strategies on lifetime reliability and maintenance cost[R].Barcelona,Spain:Turbo Expo:Power for Land,Sea,and Air,2006.
[11]	ESTéBANEZ L R,SHEHAB E,SYDOR P,et al.An integrated aerospace requirement setting and risk analysis tool for life cycle cost reduction and system design improvement[J].Procedia CIRP （The International Academy for Production Engineering）,2015,38:78-83.
[12]	WENSKY T,WINKLER L,FRIEDRICHS J.Environmental influences on engine performance degradation[R].Glasgow UK:Turbo Expo:Power for Land,Sea,and Air,2010.
[13]	MILLER J N.Tutorial review:outliers in experimental data and their treatment[J].Analyst,1993,118（5）:455-461.
[14]	ACKERT S.Engine maintenance concepts for financiers[J].Aircraft Monitor,2011,2:1-43.
[15]	BURKETT M A.Expanding the reliability process to more accurately assess business risks and opportunities associated with long-term maintenance contracts[R]. Barcelona,Spain:Turbo Expo:Power for Land,Sea,and Air,2006.
[16]	MEEKER W Q,ESCOBAR L A.Statistical methods for reliability data[M].Hoboken,US:John Wiley and Sons,2014.
[17]	CFM公司.中国区CFM56-5B/7B用户发动机管理和工作范围制定报告[R].北京:中国区CFM56-5B/7B用户发动机管理和工作范围制定会议，2008.
[18]	ZARETSKY E V,BRANZAI E V.Rolling bearing service life based on probable cause for removal:a tutorial[J].Tribology Transactions,2017,60（2）:300-312.
[19]	ZARETSKY E V,BRANZAI E V.Effect of rolling bearing refurbishment and restoration on bearing life and reliability[J].Tribology Transactions,2005,48（1）:32-44.
[20]	CHEN X.Foreign object damage on the leading edge of a thin blade[J].Mechanics of Materials,2005,37（4）:447-457.