一种数控机床故障模式重要度分析新方法
A New Method for Analyzing Importance of CNC Machine Tool Failure Mode

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