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数控机床马尔可夫过程下的超单元可靠性建模技术

刘英 康丽娜 王扬 余武

刘英, 康丽娜, 王扬, 余武. 数控机床马尔可夫过程下的超单元可靠性建模技术[J]. 机械科学与技术, 2016, 35(2): 247-252. doi: 10.13433/j.cnki.1003-8728.2016.0216
引用本文: 刘英, 康丽娜, 王扬, 余武. 数控机床马尔可夫过程下的超单元可靠性建模技术[J]. 机械科学与技术, 2016, 35(2): 247-252. doi: 10.13433/j.cnki.1003-8728.2016.0216
Liu Ying, Kang Li'na, Wang Yang, Yu Wu. Reliability Modeling Technology of Superelements for CNC Machine Tools with Markov Process[J]. Mechanical Science and Technology for Aerospace Engineering, 2016, 35(2): 247-252. doi: 10.13433/j.cnki.1003-8728.2016.0216
Citation: Liu Ying, Kang Li'na, Wang Yang, Yu Wu. Reliability Modeling Technology of Superelements for CNC Machine Tools with Markov Process[J]. Mechanical Science and Technology for Aerospace Engineering, 2016, 35(2): 247-252. doi: 10.13433/j.cnki.1003-8728.2016.0216

数控机床马尔可夫过程下的超单元可靠性建模技术

doi: 10.13433/j.cnki.1003-8728.2016.0216
基金项目: 

国家自然科学基金项目(51175527)与国家"高档数控机床与基础制造装备"科技重大专项项目(2013ZX04011-013

2013ZX04012-051)资助

详细信息
    作者简介:

    刘英(1965-),教授,博士,研究方向为机械制造工艺、数控机床可靠性等,liuyingu6682@163.com

Reliability Modeling Technology of Superelements for CNC Machine Tools with Markov Process

  • 摘要: 将数控机床按其功能层次划分为主系统与辅助系统。研究了主系统与辅助系统之间的关系,提出超单元可靠性建模技术概念,将辅助系统以超单元的形式嵌入到关联主系统的可靠性模型中,并建立了基于马尔可夫过程的数控机床主系统动态可靠性分析数学模型,降低了系统的状态空间。在此基础上,假设各主系统为相互独立的模块,采用克罗内克方法对数控机床的整机稳态可靠性指标进行计算。最后,以某型号数控外圆磨床为例,通过实际数据求解其可靠性指标,分析其可靠性状况,验证了模型的正确性和适用性。
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出版历程
  • 收稿日期:  2014-01-08
  • 刊出日期:  2016-02-05

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