期刊文献+

一种数控机床故障模式重要度分析新方法 被引量:1

A New Method for Analyzing Importance of CNC Machine Tool Failure Mode
在线阅读 下载PDF
导出
摘要 针对数控机床故障模式重要度传统分析方法主观性较强、基础数据匮乏且一般较少从整机角度进行分析的问题,提出一种基于影响因素模糊定量评价和蒙特卡洛仿真的数控机床故障模式重要度分析新方法。该方法在综合考虑数控机床故障模式重要度各影响因素的基础上,建立了数控机床故障模式重要度评价因素集;应用Delphi法确定影响因素的评价等级和评分准则,同时结合变异系数法和均值的思想确定专家权重来修正因素评分;并利用模糊层次分析法确定各评价因素的权重及优先等级;然后结合线性加权模型,编写MATLAB程序进行蒙特卡洛仿真,对各故障模式进行重要度统计分析,从系统的角度对各故障模式的重要度进行等级排序;通过实例验证了该方法的合理性与有效性。 To solve problems that traditional methods for analyzing the importance of a CNC machine tool failure mode faces,such as robust subjectivity,lack of essential data,rare analysis of the whole machine tool,this paper proposes a new method for analyzing the importance of computer numerical control( CNC) machine tool failure modes based on the fuzzy quantitative evaluation and Monte Carlo simulation of influence factors. This method evaluates the importance by taking into comprehensive consideration the influence factors of the importance of failure modes. The Delphi method is used to determine the influence factor evaluation grade and its corresponding evaluation criterion and the expert's weight to modify the factor grade by combining the variation coefficient method with the mean value. The fuzzy analytic hierarchy process is employed to determine the weight and priority of each influence factor. Then,a MATLAB program is written to do the Monte Carlo simulation. The linear weighting method is used to perform the statistical analysis of the importance of each failure mode. The order of importance of each CNC machine tool failure mode is ranked according to the overall unit. At last,a case study indicates that the method is rational and effective.
出处 《机械科学与技术》 CSCD 北大核心 2017年第11期1747-1753,共7页 Mechanical Science and Technology for Aerospace Engineering
基金 国家自然科学基金项目(51575070) 国家科技重大专项项目(2013ZX04012-041 2014ZX04001-031)资助
关键词 数控机床 故障模式 专家权重 重要度分析 蒙特卡洛仿真 CNC machine tool failure mode expert's weight importance analysis Monte Carlo simulation
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
  • 相关文献

参考文献10

二级参考文献75

共引文献380

同被引文献8

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部