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基于组合权重的数控磨床可靠性模糊分配研究

刘英 余武 李荣祖 康丽娜 王扬

刘英, 余武, 李荣祖, 康丽娜, 王扬. 基于组合权重的数控磨床可靠性模糊分配研究[J]. 机械科学与技术, 2015, 34(12): 1863-1868. doi: 10.13433/j.cnki.1003-8728.2015.1211
引用本文: 刘英, 余武, 李荣祖, 康丽娜, 王扬. 基于组合权重的数控磨床可靠性模糊分配研究[J]. 机械科学与技术, 2015, 34(12): 1863-1868. doi: 10.13433/j.cnki.1003-8728.2015.1211
Liu Ying, Yu Wu, Li Rongzu, Kang Li'na, Wang Yang. Research on Fuzzy Reliability Allocation for CNC Grinding Machine Based on Combined Weight[J]. Mechanical Science and Technology for Aerospace Engineering, 2015, 34(12): 1863-1868. doi: 10.13433/j.cnki.1003-8728.2015.1211
Citation: Liu Ying, Yu Wu, Li Rongzu, Kang Li'na, Wang Yang. Research on Fuzzy Reliability Allocation for CNC Grinding Machine Based on Combined Weight[J]. Mechanical Science and Technology for Aerospace Engineering, 2015, 34(12): 1863-1868. doi: 10.13433/j.cnki.1003-8728.2015.1211

基于组合权重的数控磨床可靠性模糊分配研究

doi: 10.13433/j.cnki.1003-8728.2015.1211
基金项目: 

国家科技重大专项项目(2013ZX04011-013

2013ZX04012-051)与国家自然科学基金项目(51175527)

详细信息
    作者简介:

    刘英(1965-),教授,博士,硕士生导师,研究方向为质量控制与管理、数控机床可靠性,liuyingu6682@163.com

Research on Fuzzy Reliability Allocation for CNC Grinding Machine Based on Combined Weight

  • 摘要: 可靠性分配是集工程决策、多因素综合权衡和过程优化的复杂问题。针对影响可靠性分配的因素具有不确定性的特点及其影响程度也具有模糊性等特点,提出一种将熵权法和模糊层次分析法结合的主客观组合赋权法。以数控磨床整机为例,考虑系统的故障频繁性、故障危害性、复杂性、维修性、技术水平和费效比6个影响可靠性分配的因素,根据最小鉴别信息原理建立数控磨床的可靠性目标函数,通过拉格朗日乘子法求解得到影响因素的组合权重,采用基于组合权重的模糊综合分配法,求得可靠性分配结果,与实际积累的数据进行对比,验证了该方法的可行性和有效性。
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出版历程
  • 收稿日期:  2014-01-07
  • 刊出日期:  2015-12-05

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