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Optimal Testing Resources Allocation for Improving Reliability Assessment of Non-repairable Multi-state Systems

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Recent Advances in Multi-state Systems Reliability

Part of the book series: Springer Series in Reliability Engineering ((RELIABILITY))

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Abstract

Due to limited reliability testing resources (e.g., budget, time, and manpower etc.), the reliability of a sophisticated system may not be able to accurately estimated by insufficient reliability testing data. The book chapter explores the reliability testing resources allocation problem for multi-state systems, so as to improve the accuracy of reliability estimation of an entire system. The Bayesian reliability assessment method is used to infer the unknown parameters of multi-state components by merging subjective information and continuous/discontinuous inspection data. The performance of each candidate testing resources allocation scheme is evaluated by the proposed uncertainty quantification metrics. By introducing the surrogate model, i.e., kriging model, the computational burden in seeking the optimal testing resources allocation scheme can be greatly reduced. The effectiveness and efficiency of the proposed method are exemplified via two illustrative case.

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Acknowledgements

The authors greatly acknowledge grant support from the National Natural Science Foundation of China under contract number 71371042 and the Fundamental Research Funds for the Central Universities under contract number ZYGX2015J082.

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Authors and Affiliations

  1. School of Mechatronics Engineering, University of Electronic Science and Technology of China, Chengdu, China

    Yu Liu & Tao Jiang

  2. Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong, China

    Peng Lin

Authors
  1. Yu Liu
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  2. Tao Jiang
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  3. Peng Lin
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Corresponding author

Correspondence to Yu Liu .

Editor information

Editors and Affiliations

  1. Planning, Development and Technology Division, The System Reliability Department, Israel Electric Corporation Ltd., Haifa, Israel

    Anatoly Lisnianski

  2. Center for Reliability and Risk Management, Industrial Engineering and Management Department, SCE—Shamoon College of Engineering, Beer Sheva, Israel

    Ilia Frenkel

  3. Department of Mathematics, University of the Aegean, Karlovasi, Samos, Greece

    Alex Karagrigoriou

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Liu, Y., Jiang, T., Lin, P. (2018). Optimal Testing Resources Allocation for Improving Reliability Assessment of Non-repairable Multi-state Systems. In: Lisnianski, A., Frenkel, I., Karagrigoriou, A. (eds) Recent Advances in Multi-state Systems Reliability. Springer Series in Reliability Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-63423-4_13

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  • DOI: https://doi.org/10.1007/978-3-319-63423-4_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-63422-7

  • Online ISBN: 978-3-319-63423-4

  • eBook Packages: EngineeringEngineering (R0)

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