LAUSR

The performance of Electronic fuel injection (EFI) systems has been significantly improved owing to the enhancement of materials and components. Thus, it is very difficult to obtain enough time-to-failure data for a specific time. This raises a big challenge with regard to traditional reliability evaluations of EFI systems since the evaluations lack abundant failure data. To resolve the problem, this paper proposes a new method. By analyzing the working principle and failure mechanism of an EFI system, the extraction method and degradation analysis of the system parameters are first carried out. Then, a temperature stress degradation model of linear regression based on degradation data distribution is presented. Experimental results show that EFI system performance reliability can be effectively evaluated. This can provide a theoretical basis for an overall performance estimation and proactive maintenance of automotive ECUs.