基于云模型的刀库系统故障分析  

Failure analysis of tool changer system based on cloud model

作　　者：申桂香[1] 丁烨[1] 张英芝[1] 谷东伟[1] 梁栋[2] 陈炳锟[1] 

机构地区：[1]吉林大学机械科学与工程学院,吉林长春130022 [2]吉林大学汽车工程学院,吉林长春130022

出　　处：《中南大学学报（自然科学版）》2013年第4期1420-1424,共5页Journal of Central South University:Science and Technology

基　　金：科技重大专项(2010ZX04014-011)

摘　　要：针对传统模糊综合评判隶属度函数难以确定的问题,用黄金分割率法生成的隶属云模型作为隶属度函数,对传统的危害度模糊综合评判加以改进。通过建立因素集、评价集和权重集等步骤,实施基于云模型的故障分析,判断各个故障模式的风险等级,最终对到刀库系统的故障部位进行评价。评价结果表明:松开、夹紧装置系统、驱动系统变频器系统和电气系统是刀库系统的关键故障部位。Aiming at the problem that the membership functions is difficult to determine in the traditional fuzzy comprehensive evaluation, the membership cloud model which was produced by gold segmentation rate method was utilized to optimize the traditional fuzzy comprehensive evaluation. The evaluation result was obtained after the factor set, the evaluation set, the weight set and other parameters were determined. The level of the risk degree of every single subsystem to the whole tool changer system was also given. According to the judgment, the evaluation of failure positions was given. The results show that undo clamping apparatus system, drive system and electric system are the key failure positions.

关 键 词：危害度 隶属云 云模型 刀库 

分 类 号：TB114.3[理学—概率论与数理统计]