【摘要】 针对故障在复杂机电产品中传递发展的特点,提出了一种基于动作单元的机电产品故障溯源诊断方法.按照"功能-运动-动作"对整机功能进行结构化分解得到基本的动作单元,并分析动作单元之间的传递过程;在此基础上建立以动作单元和故障现象为节点的贝叶斯网络模型,利用贝叶斯网络的推理算法,计算各个节点的发生概率并追溯最大概率路径,实现动作层的故障动作单元诊断及故障动作单元传播过程诊断;利用故障图对动作单元内部的故障模式及其传递发展过程进行描述,找到引起动作单元故障的根本原因.通过对机电产品动作层和动作单元内部的诊断分析,实现故障现象到故障原因的溯源诊断.将所提出的溯源诊断方法应用到某企业数控转台故障诊断中,结果表明,从运动的角度进行故障溯源诊断,能够有效地诊断出故障动作单元及其传播过程并反映出动作单元内部元件故障的传递发展过程,便于找到导致故障的根本原因,提高了对机电产品故障诊断的效率.更多还原

【Abstract】 Aiming at the characteristic of the transmission and development of fault in complex electro-mechani-cal products,a method of fault root causes tracing analysis for electro-mechanical products based on action unit was proposed. Firstly,the transfer process between action units was analyzed after the basic action unit was obtained by structuring decomposition of the whole machine function which was"function-motion-action". Then a Bayesian network model was established based on action unit and fault phenomenon,and combined with reasoning algorithm of Bayesian networks to calculate the occurrence rate of each node and trace the maximum probability path to diagnose the fault action unit and its propagation process at the motion level. To find out the root cause of the failure of the ac-tion unit,the fault graph was used to describe the failure model of fault action unit and its transfer and development process. The trace diagnosis from the fault phenomenon to the fault cause can be realized through the diagnosis and analysis at action layer and in the interior of action unit of complex electro-mechanical products. Finally,the method of fault root causes tracing analysis based on action unit was used to deal with the root cause of the NC rotary table of some machining center,the results show that the proposed traceability diagnosis method can effectively diagnose the fault action unit and its propagation process,and reflect the transmission and development process of the internal components of the action unit from the angle of motion,which is convenient to find out the root cause of the fault and improve the efficiency of fault diagnosis for electro-mechanical products.更多还原