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Non-sample based parameters design for system performance reliability improvement

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Abstract

Design methods for quality generally help to improve quality over time, but do not consider change of system performance over time, resulting from degradation in components. As design methods for quality over time (performance reliability), which minimizes effects of unavoidable component degradations as well as component variations on system performance change, system model-based sampling methods using Monte-Carlo simulations have been used. But, there are main concerns related to computational efficiency and optimization in applying the sampling methods. To overcome the concerns, we propose a non-sample method for quality over time. Based on the proposed method, the process of allocating design parameters, which could minimize the noise effects with the consequence that both quality and performance reliability are optimized, is discussed. Reliability metrics such as mean time to failure and standard deviation of time to failure are optimized simultaneously for reliability improvement. Desirability functions for the metrics are introduced to perform the simultaneous optimization. The proposed method is applied to an electrical system design and compared to a sampling based design method.

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Authors and Affiliations

  1. School of mechanical engineering, Andong National University, Andong, 760-749, Korea

    Young Kap Son

  2. Reliability analysis research center, Hanyang University, Hanyang, 133-791, Korea

    Jae-Jung Kim

  3. Division of Information Technology, Hansei University, Hansei, 435-742, Korea

    Seung-Jung Shin

Authors
  1. Young Kap Son
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  2. Jae-Jung Kim
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  3. Seung-Jung Shin
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Corresponding author

Correspondence to Young Kap Son.

Additional information

This paper was recommended for publication in revised form by Associate Editor Jooho Choi

Young Kap Son received his PhD from the Department of Systems Design Engineering in 2006 at the University of Waterloo in Canada. Currently, he is a Professor in the School of Mechanical Engineering at the Andong National University. His current research interests include economic-based design for reliability, and physics of failure for general engineering systems.

Jae-Jung Kim received his B.S. and M.S in Mechanical Engineering from Hanyang University, KOREA, in 1997 and in 1999, respectively. He is currently a Research Professor at the Reliability Analysis Research Center at Hanyang University in Seoul, Korea. His research interests include reliability, electronic cooling, and failure analysis.

Seung-Jung Shin received his B.S. in Business Management at Sejong University, Korea, in 1988. He then received his M.S. in Computer Science Engineering Kunkook University, Korea, in 1994, and Ph.D. degree from Kookmin University, Korea, in 2000. He is currently a Professor at the School of Information Technology Division at Hansei University in Seoul, Korea. His research interests include reliability, Security, and Programming.

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Son, Y.K., Kim, JJ. & Shin, SJ. Non-sample based parameters design for system performance reliability improvement. J Mech Sci Technol 23, 2658–2667 (2009). https://doi.org/10.1007/s12206-009-0719-3

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  • DOI: https://doi.org/10.1007/s12206-009-0719-3

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