节点文献

基于粒子群优化算法的数控机床可靠性建模研究

Research on CNC Machine Tools Reliability Modelling Based on PSO

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 熊建桥李雪鲁泳袁新芳

【Author】 XIONG Jianqiao;LI Xue;LU Yong;YUAN Xinfang;School of Mechanical Engineering,Nanjing Institute of Technology;

【机构】 南京工程学院机械工程学院

【摘要】 对某型号数控机床进行可靠性试验,采集故障数据。在此基础上,建立可靠性模型,推断属于威布尔分布,并进行可靠性模型分析;采用粒子群优化算法对威布尔分布的尺度参数α和形状参数β进行估计。研究结果表明,采用此方法建立的可靠性模型较传统的更加准确。

【Abstract】 Reliability test for a certain NC machine tool was carried out. Failure data were collected. On this basis, a reliability model was established. It was inferred that it was a Weibull distribution. The reliability model was also analyzed. PSO(particle swarm optimization)algorithm was used to estimate the scale parameter α and shape parameter β of Weibull distribution. Research results show that the reliability model established by this method is more accurate than the traditional one.

【基金】 国家自然科学基金面上项目(51775261);南京工程学院校级重大项目(CKJA201402;CKJA201602);江苏省海洋科技创新专项(HY2017-3)
  • 【文献出处】 机床与液压 ,Machine Tool & Hydraulics , 编辑部邮箱 ,2020年20期
  • 【分类号】TG659;TP18
  • 【被引频次】3
  • 【下载频次】214
节点文献中: 

本文链接的文献网络图示:

本文的引文网络