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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

闻敬谦, 李青, 赵庆斌等 . 基于神经网络的维修保障流程影响度分析方法[J]. 北京航空航天大学学报, 2011, 37(6): 690-694.
引用本文: 闻敬谦, 李青, 赵庆斌等 . 基于神经网络的维修保障流程影响度分析方法[J]. 北京航空航天大学学报, 2011, 37(6): 690-694.
Wen Jingqian, Li Qing, Zhao Qingbinet al. Method to analyze the impact of maintenance and support process based on neural network[J]. Journal of Beijing University of Aeronautics and Astronautics, 2011, 37(6): 690-694. (in Chinese)
Citation: Wen Jingqian, Li Qing, Zhao Qingbinet al. Method to analyze the impact of maintenance and support process based on neural network[J]. Journal of Beijing University of Aeronautics and Astronautics, 2011, 37(6): 690-694. (in Chinese)

基于神经网络的维修保障流程影响度分析方法

基金项目: 武器装备预研基金资助项目(9140A18010110HK0146).
详细信息
    作者简介:

    闻敬谦(1978-),男,安徽凤阳人,博士后,wenjq@me.buaa.edu.cn.

  • 中图分类号: TP 183; V 267+.31

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

  • 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.

     

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出版历程
  • 收稿日期:  2010-09-24
  • 网络出版日期:  2011-06-30

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