摘要
针对潜射武器健康状态评估中的大数据分析问题,对大数据概念以及特点进行了论述,重点阐述了神经网络、群体智能和相关分析三种大数据分析方法的主要思想、应用范围,提出了潜射武器健康状态评估的潜射武器大数据存储与处理、数据特征提取、健康状态评估技术路线,最后指出了大数据分析在潜射武器健康状态评估中应用的可行性。
As to health state evaluation for submarine-launched weapon based on big data analytics,this paper discusses concept and characteristic of big data,especially the main idea and application scope of three big data analysis methods,including neural network,swarm intelligence and correlation analysis.Technical route of combining health state evaluation for submarine-launched weapons health state evaluation and big data analysis technology is proposed,including big data storage and process,big data feature extraction and health state evaluation.Finally,application feasibility of big data analysis in health state evaluation for submarine-launched weapon is analyzed.
作者
郑帮涛
Zheng Bangtao(Naval Department of Equipment,Beijing 100036,China)
出处
《计算机测量与控制》
2018年第4期272-275,共4页
Computer Measurement &Control
关键词
大数据分析
潜射武器
健康状态评估
深度神经网络
big data analysis
submarine-launched weapon
health state evaluation
deep neural network
