北京航空航天大学学报 ›› 2011, Vol. 37 ›› Issue (6): 690-694.

• 论文 • 上一篇    下一篇

基于神经网络的维修保障流程影响度分析方法

闻敬谦, 李青, 赵庆斌   

  1. 北京航空航天大学 机械工程及自动化学院, 北京 100191
  • 收稿日期:2010-09-24 出版日期:2011-06-30 发布日期:2011-07-05
  • 作者简介:闻敬谦(1978-),男,安徽凤阳人,博士后,wenjq@me.buaa.edu.cn.
  • 基金资助:

    武器装备预研基金资助项目(9140A18010110HK0146).

Method to analyze the impact of maintenance and support process based on neural network

Wen Jingqian, Li Qing, Zhao Qingbin   

  1. School of Mechanical Engineering and Automation, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
  • Received:2010-09-24 Online:2011-06-30 Published:2011-07-05

摘要: 针对维修保障能力的主要影响因素分析及其影响度的量化问题,以维修保障业务流程作为分析对象,通过建立业务流程参数与装备使用能力的关系函数,建立影响因素和影响度的分析方法,并给出影响程度、关键要素、关键影响要素以及综合影响度定义.以流程数量、效率和稳定性作为分析指标,利用MATLAB软件基于神经网络实现对关系函数的逼近求解,为装备制造企业提供确定关键流程和主要影响因素的系统实现.以某航空装备制造企业维修保障业务流程为例给出具体应用,与专家评价方法相比该方法可获得更为客观的分析结果.

Abstract: To solve the problem in determining key influence factors of maintenance and support, a new quantitative method was put forward which takes the support service processes as analysis object. In this method, the relation function between the influence factors and equipment performance was established, and the definitions of the influence degree, key element, key influencing factors and the combined influence degree were given out. To analyze the maintenance and support ability of manufacturer, the account, efficiency and stability of support processes were used as assessment indexes. Based on back-propagation neural network, the approximation solution for the relation function was calculated out by MATLAB software, which provided a computer realization to find out the key process and key influence factor for the producer. An application of certain aircraft manufacture was given to demonstrate the process analysis result. Compared with the expert grading method, the result obtained by this method is more objective.

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