基于云模型的自动化工装装配失效风险评估

为提高我国工业制造领域自动化装配水平与国际竞争力,对识别、评估自动化工装装配失效模式势在必行.在评估过程中克服传统评估过程中数据的不完整性和模糊性的缺陷.首先,运用人机料法环(4M1E)法识别潜在失效风险以构建自动化工装装配风险评估指标体系,并对技术失效模式做了详细分析;其次,基于结合最优传递矩阵性质的层次分析法和邻域粗糙集组合法对指标进行赋权;然后,以云理论为基础建立云模型失效风险综合评估模型;最后,以H企业的EPB工装装配为例,进行装配失效风险评估,结果表明:其评估结果发现EPB工装装配整体处于较高失效风险等级,与实际情况相符,验证了模型具有较好的可行性和有效性.研究结果以期对工装和设备运行的可靠性提供科学依据.

Failure Risk Assessment of Automatic Tooling Assembly Based on Cloud Model

In order to improve our country’s automatic assembly level in the field of industrial manufacturing and international competitiveness,it’s imperative to assess the failure mode of automated assembly so as to effectively manage the risk factors.The defects of data incompleteness and fuzziness in the traditional assessment process are overcome in this paper.Firstly,the Man-Machine-Material-Method-Environments(4M1E) method is used to identify potential risks so as to construct the risk assessment index system of automatic tooling assembly,and the technical risks are analyzed in detail.Secondly,the indexes are weighted based on the analytic hierarchy process and the neighborhood rough set combination method with optimal transfer matrix properties.Thirdly,a comprehensive risk assessment model of cloud model is established based on the cloud theory.Finally,taking the EPB tooling assembly of Enterprise H as an example,the risk assessment of assembly failure is conducted.The results show that the EPB tooling assembly is at a high failure risk level as a whole,which is consistent with the actual situations and verifies that the model is feasible and effective.The research results are expected to provide a scientific basis for the reliability of tooling and equipment operations.