基于模糊VIKOR的数控机床FMECA可靠性分析方法

CNC machine tool FMECA reliability analysis method based on fuzzy VIKOR

针对数控机床传统FMECA分析方法采用风险优先数法在风险评估时产生主观因素大、权重无法合理分配等问题,文章提出一种基于模糊VIKOR的FMECA分析方法用于数控机床可靠性分析。首先针对数控机床各子系统故障进行故障模式分析;其次专家团队对机床故障模式进行模糊语言评价;然后利用三角模糊数建立数控机床故障模式风险模糊矩阵,并采用熵权法得到各风险因子的客观权重;最后引入VIKOR理论计算风险影响指数得到最终综合评价进行风险排序。该方法在数控机床可靠性分析实例中进行了验证,结果表明,其能更客观地计算出数控机床的高风险部位,采取针对性改进措施,提高数控机床的可靠性。

In addressing challenges encountered in the conventional failure modes,effects,and criticality analysis(FMECA)for CNC machine tools,which involve issues in significant subjective factors and the impractical allocation of weights when using risk priority numbers during risk assessment,a fuzzy VIKOR based FMECA analysis method for the reliability analysis of CNC machine tools is proposed in this study.Firstly,the methodology involves a systematic analysis of failure modes in each subsystem of the CNC machine tool,followed by a meticulous evaluation of these modes using fuzzy linguistic assessments by an expert team.Subsequently,a triangular fuzzy number is employed to construct a fuzzy risk matrix for the failure modes of the CNC machine tool.Objective weights for various risk factors are determined utilizing the entropy weight method.Finally,the VIKOR theory is incorporated to compute the risk impact index,providing a comprehensive assessment and then conducting risk prioritization.This method has been validated through a practical application in the reliability analysis of CNC machine tools.The results indicate its capability to objectively identify high-risk areas in CNC machine tools,allowing for targeted improvement measures and ultimately enhancing the reliability of CNC machine tools.