摘要
对装备质量信息进行分析和处理是准确掌握装备性能状态,提高装备保障水平的关键。随着计算机技术与信息技术的不断发展和大数据的运用,部队亟需装备质量信息分析处理技术以充分利用装备质量数据资源,基于数据挖掘的装备质量信息分析处理技术正逐渐成为装备保障领域的重要研究方向。从因果分析、关联分析和数据处理几个方面论述了装备质量信息分析处理的研究内容,梳理了数据挖掘的方法,并阐述了国内外研究现状。简要分析了各类数据挖掘技术面向装备质量信息分析处理不同研究点时的适用性。探讨了基于数据挖掘的装备质量信息分析处理面临的主要问题及其未来发展方向。
The analysis and processing of equipment quality information is the key to accurately gras-ping the performance status of equipment and improving the level of equipment support. With the continuous development of computer and information technology and the use of big data, the army urgently needs equipment quality information analysis and processing technology to make full use of equipment quality data resources;the analysis and processing technology of equipment quality information based on data mining is becoming an important research direction in the field of equipment support. The research content of equipment quality information analysis and processing is discussed in terms of causal analysis, association analysis and data processing;data mining methods combed;the research status at home and abroad expounded. The applicability of various data mining techniques for different research points of equipment quality information analysis and processing is briefly analyzed. Main problems of equipment quality information analysis and processing based on data mining and its future development direction are discussed.
作者
李馥林
孟晨
范书义
LI Fulin;MENG Chen;FAN Shuyi(Department of Missile Engineering,Shijiazhuang Campus of Army Engineering University,Shijiazhuang 050003,Hebei,China)
出处
《火炮发射与控制学报》
北大核心
2022年第6期88-96,共9页
Journal of Gun Launch & Control
基金
国家自然科学基金(61501493)。
关键词
数据挖掘
装备质量信息分析处理
因果分析
关联分析
数据处理
data mining
equipment quality information analysis and processing
causal analysis
association analysis
data processing
