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Starting form real field data modern statistical procedures and models including their parameters for determination of reliability functions, such as expected life time and hazard rate, for series ECUs are presented. Prediction models and methods of abscissa transformation provide additional applications. The quality of these methods is demonstrated with various control groups.

This paper presents a model for reliability prediction of motor vehicle components in field use based on guarantee data. The method is an extension of the reliability prediction model from Pauli [1], which was originally developed for the analysis of electronic control units. The model is applied for the first time to body electronic products. Therefore, a generalized failure model is developed. In a case study an electronic actuator is analysed considering a mixed failure model and then compared to a simple failure model approach. The prediction model derives km- and time-dependent reliability characteristics and is proven to be a powerful tool.