Fire Control System Operation Status Assessment Based on Information Fusion: Case Study

doi:10.3390/s19102222

CSpace

	Fire Control System Operation Status Assessment Based on Information Fusion: Case Study
	Li, Yingshun 1; Wang, Aina 1; Yi, Xiaojian 2,3,4
	2019-05-02
发表期刊	SENSORS
ISSN	1424-8220
卷号	19 期号:10 页码:20
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.
关键词	fire control system status assessment DS evidence theory rough set theory information fusion
DOI	10.3390/s19102222
语种	英语
资助项目	National Natural Science Foundation[71801196] ; China Postdoctoral Science Foundation[2018M631606]
WOS研究方向	Chemistry ; Electrochemistry ; Instruments & Instrumentation
WOS类目	Chemistry, Analytical ; Electrochemistry ; Instruments & Instrumentation
WOS记录号	WOS:000471014500009
出版者	MDPI
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/35037
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.Dalian Univ Technol, Fac Elect & Elect Engn, Dalian 116081, Peoples R China 2.Beijing Inst Technol, Sch Mechatron Engn, Beijing 10071, Peoples R China 3.Chinese Acad Sci, Dept Overall Technol, China North Vehicle Res Inst, Beijing 10071, Peoples R China 4.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 10071, 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.