军用航空器事故关键质量特性的数据挖掘模型  

Data mining model for critical-to-quality characteristics of military aviation accidents

作　　者：曹俊彬 邵航 姜坤 李俊杰 王正武 刘万锁 CAO Jun-bin;SHAO Hang;JIANG Kun;LI Jun-jie;WANG Zheng-wu;LIU Wan-suo(Aviation Maintenance Noncommissioned Officer Academy,Air Force Engineering University,Xinyang 464000,China)

机构地区：[1]空军工程大学航空机务士官学校,河南信阳464000

出　　处：《计算机工程与设计》2024年第2期562-570,共9页Computer Engineering and Design

基　　金：国家“十三五”重点研发计划基金项目(2018YFC080700);国家自然科学基金项目(11975311)。

摘　　要：构建一种军用航空器事故关键质量特性的数据挖掘模型,由2个主要需求牵引型功能板块和3个功能层次模块所组成,理顺数据传导路径,发挥算法分析效能,实现从事故数据到关键质量特性情报的精炼与转化,为航空维修管理的一线决策提供智力支持。以收集和整理的Y国空军坠机事件数据集为算例依据,使用所设计的数据挖掘模型,对数据集开展时间、空间、关联三大维度的数据挖掘,得到清晰、新颖、可信的数据挖掘结果,并整理为有效的关键质量特性情报。A data mining model for critical-to-quality characteristics of military aviation accidents was constructed,which was composed of 2 main demand traction function modules and 3 function level modules.The data transmission path was straightened out,the algorithm analysis efficiency was played,and the refining and transformation from accident data to critical-to-quality characteristics information was realized,providing intellectual support for the first-line decision-making of aviation maintenance management.Taking the data set of air force crash incident of Country Y collected and sorted as an example,the designed data mining model was used,and data mining in 3 dimensions of time,space and association was carried out for the data set.Clear,novel and credible data mining results were obtained,which were sorted into effective key quality characteristic information.

关 键 词：数据挖掘模型 数据可视化 航空事故 关联规则 关键质量特性 时空统计 军用航空器 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]