Research on Intelligent Health Management Technology of Opto-electronic Equipment
Zhang, Chuming2,3; Wei, Guojun2; Xie, Meilin1; Liu, Peng1; Cao, Yu1; Lian, Xuezheng1; Huang, Wei1; Liu, Kai1
2022
会议日期2022-03-04
会议地点Chongqing, China
关键词Intelligent Health Management Health State Early Warning Opto-electronic
DOI10.1109/ITOEC53115.2022.9734543
页码1961-1967
英文摘要With the development of China's weapon equipments and the continuous progress of information technology, the demand for the mobility, reliability, unmanned and flexible networking ability of opto-electronic measurement equipment is increasing. Breakthrough in the intelligent health management technology of opto-electronic equipment has become a major requirement for unmanned intelligent shooting range construction. Focusing on the opto-electronic measuring equipment in the shooting range, this paper detailed analyzes the development status of health management technology at home and abroad. Then it introduces the health diagnosis and decision-making strategy of opto-electronic equipment. According to a certain type of opto-electronic equipment, three health state early warning models are established and compared: health state early warning model based on statistical analysis, health state early warning model based on machine learning and health state early warning model based on neural network, subsystem simulation is given. Finally, the development direction of intelligent health management technology of opto-electronic equipment is predicted, the next work to be carried out is pointed out. © 2022 IEEE.
产权排序2
会议录IEEE 6th Information Technology and Mechatronics Engineering Conference, ITOEC 2022
会议录出版者Institute of Electrical and Electronics Engineers Inc.
语种英语
ISBN号9781665431859
内容类型会议论文
源URL[http://ir.opt.ac.cn/handle/181661/95833]  
专题西安光学精密机械研究所_光电测量技术实验室
作者单位1.Xi'An Institute of Optics and Precision Mechanics of CAS, Xi'an; 710119, China
2.Space Engineering University, Beijing; 101499, China;
3.Unit 63790 of the PLA, China;
推荐引用方式
GB/T 7714
Zhang, Chuming,Wei, Guojun,Xie, Meilin,et al. Research on Intelligent Health Management Technology of Opto-electronic Equipment[C]. 见:. Chongqing, China. 2022-03-04.
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