文章摘要
蔡复青,王戈,钟道.基于航空装备维修数据的维修需求预测方法[J].,2019,(2):234-238
基于航空装备维修数据的维修需求预测方法
Maintenance Request Prediction for Aviation Equipment Based on the Maintenance and Support Data
  
DOI:10.7682/j.issn.1673-1522.2019.02.010
中文关键词: 航空装备  飞行强度  维修  需求预测  多元协变量模型
英文关键词: aviation equipment  flight intensity  maintenance  request prediction  multivariate model
基金项目:
作者单位
蔡复青 海军航空大学,山东烟台 264001
海军装备技术研究所,北京 102442 
王戈 海军装备技术研究所,北京 102442 
钟道 国防科学技术大学研究生院,长沙 410073 
摘要点击次数: 0
全文下载次数: 0
中文摘要:
      飞机的维修活动是装备管理工作的重要内容,但是飞机具有产品结构复杂、使用环境复杂的特点,建立在经典大样本同总体分布模型假设的维修需求预测方法难以适用。文章基于航空装备维修保障数据,围绕飞机维修需求预测问题,辨识影响维修需求的主要因素,采用数据驱动的方法建立飞机损伤程度模型,提出了一种飞机维修需求预测的新方法,并通过实测数据的分析处理,验证了方法的可行性。
英文摘要:
      Aircraft maintenance activity is an important part of naval aviation equipment management. But it is difficult toapply the method of forecasting maintenance demand based on the assumption of classical large sample and general distri.bution model. The main factors which influenced the maintenance demand aiming at prediction of aircraft maintenance de.mand was identified. Then, the degree of damage and the capability of fault detection was established based on the accumu.lated data about maintenance and support of naval aviation equipment using the data-driven approach. And finally theforecasting model of maintenance demand was established. Based on this, the maintenance demand forecasting result wasobtained to analyze the result error and verify the feasibility of method.
查看全文   查看/发表评论  下载PDF阅读器
关闭