Analysis of horizontal machining center field failure data based on generalized linear mixed model: A case study

摘要

In order to assess the operational reliability of the HMC, field failure data for 14 HMCs over one year were collected from an engine plant of a large automobile manufacturing company in China. The usual approach just pools the data from all the copies, assuming the same underlying power law processes (PLP). A basic idea of the new proposal is to assume heterogeneity among the copies. It is found that the model for each copy is a PLP model with different parameters in the generalized linear mixed model (GLMM). Inferences can be made about each copy too. The modified Anderson-Darling test is adapted to goodness of fit test of the model. The method is effective to analyze reliability of HMC. (11 refs.)