Maintenance cost prediction for the vehicle based on maintenance data

Abstract

With the fierce competition in the automobile market, the focus of competition in the automobile industry had gradually turned to the automobile extended warranty service. The prediction of maintenance cost was a very important premise for the formulation of automobile extended warranty service. Combining the failure frequency data of vehicles in multiple sales batches, the mixed Weibull model was used to fit the failure process, and the single vehicle failure rate prediction model was obtained; At the same time, combined with the maintenance cost data of the same batch of vehicles, the prediction model of single vehicle maintenance cost was obtained by iterative solution. Using the existing maintenance data, the maintenance cost prediction model based on user group had been verified. The results showed that the model was real, effective and had strong engineering application value.