基于航空装备维修数据的维修需求预测方法
作者:
作者单位:

(1.海军航空大学,山东烟台 264001;2.海军装备技术研究所,北京 102442; 3.国防科学技术大学研究生院,长沙 410073)

作者简介:

通讯作者:

中图分类号:

TB114.3

基金项目:


Maintenance Request Prediction for Aviation Equipment Based on the Maintenance and Support Data
Author:
Affiliation:

(1. Naval Aviation University, Yantai Shandong 264001, China;2. Institute of Naval Equipment Technology, Beijing 102442, China;3. Graduate School of National University of Defense Technology, Changsha 410073, China)

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    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。

    Abstract:

    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.

    参考文献
    相似文献
    引证文献
引用本文

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].海军航空大学学报,2019,34(2):234-238
CAI Fuqing, WANG Ge, ZHONG Dao. Maintenance Request Prediction for Aviation Equipment Based on the Maintenance and Support Data[J]. JOURNAL OF NAVAL AVIATION UNIVERSITY,2019,34(2):234-238

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2019-06-14
  • 出版日期: