CUI Runlong, CHEN Tao. EFI System Performance Reliability Evaluation Based on Degradation Data Distribution[J]. Chinese Journal of Electronics, 2018, 27(4): 792-798. doi: 10.1049/cje.2018.05.012
Citation: CUI Runlong, CHEN Tao. EFI System Performance Reliability Evaluation Based on Degradation Data Distribution[J]. Chinese Journal of Electronics, 2018, 27(4): 792-798. doi: 10.1049/cje.2018.05.012

EFI System Performance Reliability Evaluation Based on Degradation Data Distribution

doi: 10.1049/cje.2018.05.012
Funds:  This work is supported by the National Natural Science Foundation of China (No.51206118).
  • Received Date: 2016-03-15
  • Rev Recd Date: 2016-08-19
  • Publish Date: 2018-07-10
  • 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.
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