【摘要】 在复杂产品可用性屋中,精确计算故障因素自相关系数有利于更准确得到故障因素权重,从而更有针对性地构建可用性保障机制。为此本研究给出一种可以综合多名专家意见与多个影响因素的故障因素自相关系数计算方法,将不同专家对故障因素间因果关系的模糊性判断表达为一个可拓区间数,运用可拓层次分析法(Extensional Analytic Hierarchy Process,EAHP)将该可拓区间数转化为确定的值,得到故障因素间的自相关系数。该法全面考虑了故障因素的各种影响因素及其模糊性,使计算获得的故障因素自相关系数准确度更高。最后以某系列复杂产品——加工中心可用性屋的自相关矩阵构建为例,验证了该方法的应用。更多还原

【Abstract】 In the house of availability(HOA) of complex products,the accurate calculation of the autocorrelation coefficient of fault factors is conducive to obtain the accurate weight of the fault factors,which is targeted at establishing the availability guarantee mechanism.Therefore,this study presents a method,which considers a number of expert opinions and influencing factors,to figure out the autocorrelation coefficient of fault factors.The fuzzy causal relationship between the fault factors are expressed as an extension interval number,which is converted into the determined value using the extensible analytic hierarchy process(EAHP).Then,the autocorrelation coefficients between the fault factors are obtained.The method considers all of the various influence factors of the fault factors and their fuzziness,which ensures that the accuracy of the calculated autocorrelation coefficients is high.Finally,the method is validated by using a series of machining centers as an example.更多还原