针对传统失效模式与影响分析(failure mode and effect analysis,FMEA)的不足,提出了一种基于云模型和凝聚型层次聚类算法的改进FMEA方法。首先,运用云模型对专家评估信息进行描述与集结;然后,结合凝聚型层次聚类算法识别云模型评价信息...针对传统失效模式与影响分析(failure mode and effect analysis,FMEA)的不足,提出了一种基于云模型和凝聚型层次聚类算法的改进FMEA方法。首先,运用云模型对专家评估信息进行描述与集结;然后,结合凝聚型层次聚类算法识别云模型评价信息,利用聚类子簇确定失效模式间关联关系,利用聚类结果确定失效模式风险等级。最后,以在线教学失效风险评估为例,验证了该改进FMEA方法的可行性和有效性。展开更多
With the model that the number of repeating units of the homologous series varies successively,we were able to described as the following equations:σ=(a 0+a 1n+a 2n 2)/(1+b 2n 2),where a 0?a 1?a 2?b 2 all refer to th...With the model that the number of repeating units of the homologous series varies successively,we were able to described as the following equations:σ=(a 0+a 1n+a 2n 2)/(1+b 2n 2),where a 0?a 1?a 2?b 2 all refer to the constants,n to the number of repeating units,σ to the condensed type physical properties of homologous straight chain single fatty acids series.Significant correlation was found between the condensed type physical properties of homologous straight chain single fatty acids series and their number of repeating units in this models.展开更多
文摘针对传统失效模式与影响分析(failure mode and effect analysis,FMEA)的不足,提出了一种基于云模型和凝聚型层次聚类算法的改进FMEA方法。首先,运用云模型对专家评估信息进行描述与集结;然后,结合凝聚型层次聚类算法识别云模型评价信息,利用聚类子簇确定失效模式间关联关系,利用聚类结果确定失效模式风险等级。最后,以在线教学失效风险评估为例,验证了该改进FMEA方法的可行性和有效性。
文摘With the model that the number of repeating units of the homologous series varies successively,we were able to described as the following equations:σ=(a 0+a 1n+a 2n 2)/(1+b 2n 2),where a 0?a 1?a 2?b 2 all refer to the constants,n to the number of repeating units,σ to the condensed type physical properties of homologous straight chain single fatty acids series.Significant correlation was found between the condensed type physical properties of homologous straight chain single fatty acids series and their number of repeating units in this models.
