Computational method for diagnosis of variation-related assembly problems
提出一种计算方法，通过模拟装配过程建立原因与症状的矩阵关系，结合线性优化和统计技术，从测量数据中诊断出单个或多个故障导致的装配问题。
Dimensional variations often cause expensive problems in the assembly of mechanical products especially during new product deployment. Currently, the time and labour spent on the removal of variation-related assembly problems are considerable. This paper proposes a computational method to identify the causes of variation-related problems in assemblies. In the proposed method, the relationship between causes and symptoms is computed via simulation of the assembly process, and they are represented by a matrix. For given measurement data, this method uses linear optimization and statistical techniques to diagnose assembly problems. The proposed method can diagnose assembly problems caused by either a single or multiple fault(s).