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Reliability Improvement Analysis Using Fractional Failure

In: Reliability and Statistical Computing

Author

Listed:
  • Mingxiao Jiang
  • Feng-Bin Sun

    (Tesla, Inc.)

Abstract

Many companies adopted Design for Reliability (DFR) process and tool sets to drive reliability improvement. However, it has been very challenging for business sector to conduct DFR with meaningful reliability metrics, when the reliability requirement is very high and the product samples in testing are very limited with small numbers of failure during product development tests. Bayesian approaches have been introduced by some companies to handle such challenges. Lately, some research has been conducted for reliability analysis by using fractional failures to count for failure fix effectiveness. In this paper, we will construct an approach to improve product reliability during development with fractional failure analysis method, incorporating failure fix effectiveness during each testing and failure fix phase. The fractional failure analysis is also expanded to accelerated reliability testing modeling.

Suggested Citation

  • Mingxiao Jiang & Feng-Bin Sun, 2020. "Reliability Improvement Analysis Using Fractional Failure," Springer Series in Reliability Engineering, in: Hoang Pham (ed.), Reliability and Statistical Computing, pages 17-33, Springer.
    • Handle: RePEc:spr:ssrchp:978-3-030-43412-0_2
    DOI: 10.1007/978-3-030-43412-0_2
    as

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