Spacecraft Fault Diagnosis Based on Improved A∗ Algorithm
文献类型：会议论文
| 作者 | Gao S(高升)2,3 ; Zhang W(张伟)2,3; He X(何旭)2,3; Zou, Yongming1; Li W(李伟)2,3
|
| 出版日期 | 2020 |
| 会议日期 | July 27-29, 2020 |
| 会议地点 | Shenyang, China |
| 关键词 | A* algorithm fault diagnosis fault search health management system |
| 页码 | 4097-4100 |
| 英文摘要 | The development of fault diagnosis systems has received more and more attention from countries and regions, especially the fault diagnosis of spacecraft. In this paper, the fault diagnosis search problem is also compared to a relationship of finding a path. An inference search tree is established. By finding the fault point in the inference search tree, a constraint condition-cost function is added to expand the branch in the search tree. At the time, the cost function is used to judge and filter, so that it can reduce many unnecessary searches and search for the optimal solution with the least amount of time. In this paper, the traditional A∗ algorithm is improved. By adding constraints, that is, the cost function, based on the traditional A∗ algorithm and adding additional structure, especially considering the state in the variable assignment, and the constraint set is Decomposed into a set of constraints. By using mutual priority independence (MPI) to solve the optimal constraint satisfiability problem (OCSP), the optimal constraint satisfiability problem is constructed as a state space search problem, and each search state corresponds to the partial allocation of decision variables. Combine the cost of each allocation to calculate the invalidity, and achieve the purpose of fast fault search. |
| 源文献作者 | Systems Engineering Society of China (SESC) ; Technical Committee on Control Theory (TCCT) of Chinese Association of Automation (CAA) |
| 产权排序 | 1 |
| 会议录 | Proceedings of the 39th Chinese Control Conference, CCC 2020
 |
| 会议录出版者 | IEEE Computer Society |
| 会议录出版地 | Washington, USA |
| 语种 | 英语 |
| ISSN号 | 1934-1768 |
| ISBN号 | 978-9-8815-6390-3 |
| WOS记录号 | WOS:000629243504040 |
| 源URL | [http://ir.sia.cn/handle/173321/27706]  |
| 专题 | 沈阳自动化研究所_空间自动化技术研究室 |
| 通讯作者 | Gao S(高升); Zhang W(张伟) |
| 作者单位 | 1.Shenyang Ligong University, Shenyang 110159, China 2.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110016, China 3.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China |
| 推荐引用方式 GB/T 7714 | Gao S,Zhang W,He X,et al. Spacecraft Fault Diagnosis Based on Improved A∗ Algorithm[C]. 见:. Shenyang, China. July 27-29, 2020. |
入库方式： OAI收割
来源：沈阳自动化研究所
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