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Reliability prediction system based on the failure rate model for electronic components

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Abstract

Although many methodologies for predicting the reliability of electronic components have been developed, their reliability might be subjective according to a particular set of circumstances, and therefore it is not easy to quantify their reliability. Among the reliability prediction methods are the statistical analysis based method, the similarity analysis method based on an external failure rate database, and the method based on the physics-of-failure model. In this study, we developed a system by which the reliability of electronic components can be predicted by creating a system for the statistical analysis method of predicting reliability most easily. The failure rate models that were applied are MILHDBK-217F N2, PRISM, and Telcordia (Bellcore), and these were compared with the general purpose system in order to validate the effectiveness of the developed system. Being able to predict the reliability of electronic components from the stage of design, the system that we have developed is expected to contribute to enhancing the reliability of electronic components.

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Authors and Affiliations

  1. Intelligent Machine System Research Center, Korea Institute of Machinery & Materials, 171 Jang-Dong, Yuseong-Gu, Daejeon, 305-343, Korea

    Seung Woo Lee

  2. Department of Industrial Engineering, INHA University, 253 Younghyun-Dong, Nam-Gu, Incheon, 402-751, Korea

    Hwa Ki Lee

Authors
  1. Seung Woo Lee
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  2. Hwa Ki Lee
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Correspondence to Seung Woo Lee.

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Lee, S.W., Lee, H.K. Reliability prediction system based on the failure rate model for electronic components. J Mech Sci Technol 22, 957–964 (2008). https://doi.org/10.1007/s12206-008-0212-4

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  • DOI: https://doi.org/10.1007/s12206-008-0212-4

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