基于灰色系统理论的数控机床可靠性预计研究  

Research on the CNC reliability prediction based on grey system theory

作　　者：任工昌[1] 王党席[1] 苗新强[1] 

机构地区：[1]陕西科技大学机电工程学院,西安710021

出　　处：《机械设计与制造》2010年第5期191-193,共3页Machinery Design & Manufacture

基　　金：陕西省教育厅产业化培育项目(07JC05);咸阳市科技计划项目(XK0708-6)

摘　　要：数控装备的高水平和复杂化,使机床在运转和使用过程中发生整机故障或初始性能失效的机会也明显增多。为了预计数控机床的可靠性,建立了基于灰色系统理论的可靠性预计模型,对数控系统开发过程及现场使用的可靠性水平的评定拓宽了思路。并用MATLAB软件对所建立的模型进行了实际故障数据验证。通过MATLAB软件进行仿真验证,结果表明,此方案准确有效,不仅可以节省大量时间和资源,更可以提供有效信息,为数控机床的设计决策提供依据。CNC equipment,a high level and complexity,so that machines in operationanduse of the process happened the initial performance of machine failure or the chance of failure increased significantly.For the reliability of CNC machine tools is expected,based on grey system theory is expected to model the reliability of numerical control system development process and on-site use of the reliability of the assessment of the level of ideas widened.MATLAB software with the model set up by the real fault data validation.Through the MATLAB software simulation results show that accurate and effective this program can not only save substantial time and resources,but also to provide effective information for the design of CNC machine tools provide the basis for decision-making.

关 键 词：数控机床 可靠性预计 灰色系统理论 灰色预测模型 

分 类 号：TH16[机械工程—机械制造及自动化] TP27[自动化与计算机技术—检测技术与自动化装置]