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基于大数据分析的航空产品故障管控
引用本文:罗月婉. 基于大数据分析的航空产品故障管控[J]. 兵工自动化, 2021, 40(9): 59-62. DOI: 10.7690/bgzdh.2021.09.013
作者姓名:罗月婉
作者单位:成都飞机设计研究所检验室,成都 610065
基金项目:装备军内科研项目资助课题(WJ291A030024)
摘    要:为提高航空产品故障诊断精度与维修保障的效率,提出一种基于大数据分析技术的航空产品故障管控方法.从数据挖掘算法在产品管理中的应用进行分析,依据航空产品检定数据和历史故障数据,构建产品故障与寿命预估的关联分析模型,对大数据分析技术在航空产品的应用现状与发展前景进行阐述.分析结果表明,该研究可为未来航空产品质量管控和维修保障提供思路.

关 键 词:大数据分析  数据挖掘  航空产品  故障预测  维修保障
收稿时间:2020-09-13
修稿时间:2020-12-24

Management and Control of Aviation Product FailureBased on Big Data Analysis
Luo Yuewan,and. Management and Control of Aviation Product FailureBased on Big Data Analysis[J]. Ordnance Industry Automation, 2021, 40(9): 59-62. DOI: 10.7690/bgzdh.2021.09.013
Authors:Luo Yuewan  and
Abstract:In order to improve the accuracy of fault diagnosis and the efficiency of maintenance support for aviation products, a fault management and control method based on big data analysis technology is proposed. This paper analyzes the application of data mining algorithm in product management, and constructs the association analysis model of product failure and life prediction based on aviation product verification data and historical fault data. Finally, the application status and development prospect of big data analysis technology in aviation products are described. The analysis results show that the research can provide ideas for future aviation product quality control and maintenance support.
Keywords:Big data analysis   Data mining   Aviation products   Fault prediction   Maintenance support
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