Fire Control System Operation Status Assessment Based on Information Fusion: Case Study
文献类型：期刊论文
| 作者 | Li, Yingshun4; Wang, Aina4; Yi, Xiaojian1,2,3 |
| 刊名 | SENSORS
 |
| 出版日期 | 2019-05-02 |
| 卷号 | 19期号:10页码:20 |
| 关键词 | fire control system status assessment DS evidence theory rough set theory information fusion |
| ISSN号 | 1424-8220 |
| DOI | 10.3390/s19102222 |
| 英文摘要 | In traditional fault diagnosis strategies, massive and disordered data cannot be utilized effectively. Furthermore, just a single parameter is used for fault diagnosis of a weapons fire control system, which might lead to uncertainty in the results. This paper proposes an information fusion method in which rough set theory (RST) is combined with an improved Dempster-Shafer (DS) evidence theory to identify various system operation states. First, the feature information of different faults is extracted from the original data, then this information is used as the evidence of the state for a diagnosis object. By introducing RST, the extracted fault information is reduced in terms of the number of attributes, and the basic probability value of the reduced fault information is obtained. Based on an analysis of conflicts in the existing DS evidence theory, an improved conflict evidence synthesis method is proposed, which combines the improved synthesis rule and the conflict evidence weight allocation methods. Then, an intelligent evaluation model for the fire control system operation state is established, which is based on the improved evidence theory and RST. The case of a power supply module in a fire control computer is analyzed. In this case, the state grade of the power supply module is evaluated by the proposed method, and the conclusion verifies the effectiveness of the proposed method in evaluating the operation state of a fire control system. |
| 资助项目 | National Natural Science Foundation[71801196] ; China Postdoctoral Science Foundation[2018M631606] |
| WOS研究方向 | Chemistry ; Electrochemistry ; Instruments & Instrumentation |
| 语种 | 英语 |
| WOS记录号 | WOS:000471014500009 |
| 出版者 | MDPI |
| 源URL | [http://ir.amss.ac.cn/handle/2S8OKBNM/35036]  |
| 专题 | 中国科学院数学与系统科学研究院 |
| 通讯作者 | Yi, Xiaojian |
| 作者单位 | 1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 10071, Peoples R China 2.Chinese Acad Sci, Dept Overall Technol, China North Vehicle Res Inst, Beijing 10071, Peoples R China 3.Beijing Inst Technol, Sch Mechatron Engn, Beijing 10071, Peoples R China 4.Dalian Univ Technol, Fac Elect & Elect Engn, Dalian 116081, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Yingshun,Wang, Aina,Yi, Xiaojian. Fire Control System Operation Status Assessment Based on Information Fusion: Case Study[J]. SENSORS,2019,19(10):20. |
| APA | Li, Yingshun,Wang, Aina,&Yi, Xiaojian.(2019).Fire Control System Operation Status Assessment Based on Information Fusion: Case Study.SENSORS,19(10),20. |
| MLA | Li, Yingshun,et al."Fire Control System Operation Status Assessment Based on Information Fusion: Case Study".SENSORS 19.10(2019):20. |
入库方式： OAI收割
来源：数学与系统科学研究院
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