| 基于视情维修策略的航空发动机调度方法 |
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| 引用本文： | 白芳,左洪福,文振华,戎翔,赵红华.基于视情维修策略的航空发动机调度方法[J].交通运输工程学报,2007,7(3):29-33. |
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| 作者姓名： | 白芳 左洪福 文振华 戎翔 赵红华 |
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| 作者单位： | 南京航空航天大学,航空安全与保障技术研究所,江苏,南京,210016;中国东方航空股份有限公司,上海,200335 |
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| 基金项目： | 国家自然科学基金委员会与中国民用航空总局联合资助项目(60672164)，国家“863”计划项目(2006AA04Z427) |
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| 摘 要： | 基于现代排序理论的建模思想,分析了飞机对发动机的需求特性和发动机使用维修的周转特点,引入工作节的概念,建立了基于视情维修策略的航空发动机调度模型,提出了求解模型的改进在线LPT算法,并以CF6型发动机的使用数据验证了本方法的有效性。发现排序规则是调度计划的重要影响因素,LPT规则与传统的FCFS规则相比,发动机在翼时间长,送修次数少,保障率高,租赁损失成本低。分析结果表明:LPT规则优于传统的FCFS规则,基于视情维修策略的航空发动机调度模型有效、可行。
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| 关 键 词： | 航空发动机 视情维修 调度方法 在线排序算法 |
| 文章编号： | 1671-1637（2007）03-0029-05 |
| 修稿时间： | 2007-01-19 |
Aeroengine scheduling method under condition-based maintenance strategy |
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| Bai Fang,Zuo Hong-fu,Wen Zhen-hua,Rong Xiang,Zhao Hong-hua.Aeroengine scheduling method under condition-based maintenance strategy[J].Journal of Traffic and Transportation Engineering,2007,7(3):29-33. |
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| Authors: | Bai Fang Zuo Hong-fu Wen Zhen-hua Rong Xiang Zhao Hong-hua |
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| Institution: | 1. Institute of Aviation Safety and Guarantee Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, Jiangsu, China; 2. China Eastern Airlines Co. Ltd. , Shanghai 200335, China |
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| Abstract: | Based on the modeling thought of modern scheduling theory,the requirement property for aeroengines and the turnover property of aeroengine maintenance were analyzed,the concept of work note was introduced,a scheduling model of aeroengines under condition-based maintenance strategy was established,an online longest processing time(LPT) rule algorithm was improved for solving the model,and the used data of CF6 aeroengines were studied.It is pointed that aimed at aeroengine,on-wing time is longer,maintenance time is lower,guarantee rate is higher,and rental loss cost is lower when LPT rule is compared with traditional first come first serve(FCFS) rule.Analysis result indicates that LPT rule is better than FCFS rule,and the model is feasible.3 tabs,2 figs,10 refs. |
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| Keywords: | aeroengine condition-based maintenance scheduling method online scheduling algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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