摘要
为进一步提高对携行航材品种确定和消耗数量预测的准确性,针对非线性多影响因素的品种分类和消耗预测模型中的特征选择问题进行研究。对影响携行航材需求的因素进行分析,建立三级特征体系,并针对品种确定和消耗预测提取相应的特征集合;采用XGboost、灰色关联度分析(grey relation analysis,GRA)、决策试验和评价实验法(decision making trial and evaluation laboratory,DEMATEL)等方法对各影响特征进行重要性排序和相关性分析;综合运用定性和定量分析方法筛选特征;分别建立可用于品种确定和数量预测的精简版特征集合。该研究可为后续提高携行航材品种确定和预测的准确率和运算效率提供参考。
In order to further improve the accuracy of the variety determination and consumption quantity prediction of carried aircraft spare parts,the problem of feature selection in the nonlinear multi-influence factors variety classification and consumption prediction model was studied.The factors affecting the demand for spare parts of carrying aircraft are analyzed,a 3-level feature system is established,and corresponding feature sets are extracted according to the variety determination and consumption prediction.XGboost,grey relation analysis(GRA),decision making trial and evaluation laboratory(DEMATEL)were used to rank the importance degree and analyze the correlation of each influence feature.Synthetically use qualitative and quantitative analysis methods to select features.The feature sets of the simplified edition which can be used for species determination and quantity prediction are established respectively.This study can provide reference for improving the accuracy and computing efficiency of the identification and prediction of spare parts for carrying aircraft.
作者
宋传洲
王瑞奇
孙岩
刘战
孟凡娜
Song Chuanzhou;Wang Ruiqi;Sun Yan;Liu Zhan;Meng Fanna(School of Coast Guard,Navy Aviation University,Yantai 264001,China;No.91033 Unit of PLA,Qingdao 266000,China)
出处
《兵工自动化》
2021年第6期80-86,共7页
Ordnance Industry Automation
