基于灰色聚类的数控车床组件故障风险评估

发布时间：2018-05-06 22:37

本文选题：故障关联 + 故障概率　；参考：《吉林大学》2017年硕士论文

【摘要】：数控车床是包含有多个组件的动态复杂系统,任一组件发生故障,会因故障相关关系引发其余组件以致整机故障,因此,考虑组件间故障相关性,对数控车床组件进行故障风险评估对于制定维护策略具有十分重要的意义。本文结合22台数控车床故障数据,对车床组件进行故障概率建模;运用符号有向图描述数控车床组件间故障相关关系,借助Pagerank算法对车床各个组件的故障影响度与被影响度进行计算;最后在考虑组件故障相关性的基础上,以影响度与被影响度,故障概率,平均维修时间与组件危害度为故障风险评价指标,基于灰色聚类方法评估车床组件的故障风险。首先,进行数控车床组件故障概率建模。根据数控车床的组成与加工原理,对车床组件进行划分。对于所采集的数据,用Minitab软件进行可靠性分布识别,由于存在截尾数据,运用平均秩次法修正次序,对车床组件的分布模型进行参数估计,并且进行假设检验,从而获得数控车床组件故障概率模型。其次,基于符号有向图建立故障关联关系模型。通过符号有向图描述数控车床组件之间的故障关联关系。借助Pagerank算法实现数控车床组件影响度与被影响度计算,实现数控车床组件故障影响评估。最后,在考虑组件故障相关性的基础上,把故障相关影响度与被影响度,组件故障概率,平均维修时间与组件危害度等指标构建成数控车床风险指标评价体系,运用灰色聚类方法对数控车床组件的风险进行评估。
[Abstract]:Numerical control lathe is a dynamic complex system with multiple components. When any component fails, the rest of the components will fail due to the fault correlation. Therefore, considering the fault correlation between components, It is very important to evaluate the fault risk of NC lathe components for making maintenance strategy. Based on the fault data of 22 NC lathes, this paper models the fault probability of lathe components, and uses symbolic directed graph to describe the fault correlation among NC lathe components. With the help of Pagerank algorithm, the influence degree and the affected degree of each component of the lathe are calculated. Finally, on the basis of considering the fault correlation of the component, the degree of influence and the degree of influence, the probability of the failure are taken into account. The average maintenance time and component damage are the indexes of fault risk evaluation, and the fault risk of lathe components is evaluated based on grey clustering method. Firstly, fault probability modeling of NC lathe components is carried out. According to the composition and machining principle of NC lathe, the lathe components are divided. For the collected data, Minitab software is used to identify the reliability distribution. Due to the existence of truncated data, the order of lathe components is corrected by the average rank method, and the parameters of the distribution model of the lathe components are estimated, and the hypothesis test is carried out. Thus, the failure probability model of NC lathe components is obtained. Secondly, a fault correlation model based on symbolic directed graph is established. The fault relation between components of NC lathe is described by symbolic directed graph. The influence degree and affected degree of NC lathe components are calculated by Pagerank algorithm, and the fault impact assessment of NC lathe components is realized. Finally, on the basis of considering the component fault correlation, the risk index evaluation system of NC lathe is constructed, such as the influence degree of fault correlation and affected degree, component failure probability, average maintenance time and component damage. The grey clustering method is used to evaluate the risk of NC lathe components.
【学位授予单位】：吉林大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TG519.1

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