| 引用本文: | 董学军,白国庆,陈英武.基于BER和CTMC的航天器发射组织过程可靠度模型.[J].国防科技大学学报,2013,35(2):46-51.[点击复制] |
| DONG Xuejun,BAI Guoqing,CHEN Yingwu.Scheduler reliability model of spacecraft launch based on BER and CTMC[J].Journal of National University of Defense Technology,2013,35(2):46-51[点击复制] |
|
| |
|
|
| 本文已被：浏览 8374次 下载 7387次 |
| 基于BER和CTMC的航天器发射组织过程可靠度模型 |
| 董学军1,2, 白国庆1, 陈英武1 |
|
(1.国防科技大学 信息系统与管理学院，湖南 长沙 410073;2.
2.酒泉卫星发射中心，甘肃 酒泉 732750)
|
| 摘要: |
| 在航天器发射工程中，存在组织过程可靠性评估难以量化的问题。基于航天器发射组织过程的时间特性呈现多个子过程并发执行且子过程具有Markov性和齐次性的特点，使用连续时间Markov链（CTMC）建立多吸收态的组织过程可靠度模型，利用互模拟等价关系（BER）简化组织过程的状态空间，并进一步给出各种状态转移率和组织过程可靠度计算方法。最后，通过数据分析说明模型在航天器发射工程进度计划评估中的作用和意义。 |
| 关键词: 航天器发射 互模拟等价关系 连续时间Markov链 过程可靠度 |
| DOI： |
| 投稿日期：2012-09-29 |
| 基金项目:国家自然科学基金资助项目（70971131, 71071156） |
|
| Scheduler reliability model of spacecraft launch based on BER and CTMC |
| DONG Xuejun1,2, BAI Guoqing1, CHEN Yingwu1 |
|
(1.College of Information Systems and Management, National University of Defense Technology, Changsha 410073, China;2.Jiuquan Satellite Launch Center, Jiuquan 732750, China)
|
| Abstract: |
| In spacecraft launch engineering, it is very difficult to quantify reliability of implementation process. In terms of the peculiarities which the reliability of implementation process presents, such as many sub-processes having concurrency and every sub-process having the Markovian property and homogeneity. this research presents a model of implementation processes reliability with multi-absorbing state by utilizing the model of continuous-time Markov chain (CTMC), which simplifies the state space of the implementation processes reliability through the use of bisimulation equivalence relation. Moreover, the calculation method for various state transition rates and implementation process reliability is also presented. Finally，the simulation case by engineering data verifies the role and significance of the model in the assessment schedule of spacecraft launch engineering. |
| Keywords: spacecraft launch bisimulation equivalences relation continuous-time Markov
chains process reliability |
|
|
