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Importance analysis of different components in a multicomponent system under fuzzy inputs

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Abstract

In the structural system with multiple components under fuzzy inputs, the influence of each component on system failure needs to be considered, because it is of great significance to simplify the system model as well as improve the system’s performance. In this paper, the criticality fuzzy safety importance measure of the multicomponent system under fuzzy inputs is first defined to measure the contribution of each component to the system failure. The defined criticality fuzzy safety importance measure can be applied to fault diagnosis, i.e., when a system fails, the component with the largest importance is the most probable component causing failure, thus should be checked first. Then, a method combining the multivariate Gaussian process and fuzzy simulation is proposed to estimate the criticality fuzzy safety importance measure and rank the importance of components by taking the correlation of components into consideration. Finally, several examples are employed to analyze the component importance as well as to illustrate the efficiency and accuracy of the proposed method.

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Acknowledgements

The work described in this paper was supported by the Hong Kong Institute for Advanced Study.

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Authors and Affiliations

  1. Department of Advanced Design and Systems Engineering, City University of Hong Kong, Hong Kong, China

    Ling Chunyan & Lei Jingzhe

  2. School of Aeronautics, Northwestern Polytechnical University, Xi’an, 710072, Shaanxi, China

    Wang Lu

Authors
  1. Ling Chunyan
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  2. Wang Lu
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  3. Lei Jingzhe
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Correspondence to Ling Chunyan.

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No conflict of interest exits in the submission of this manuscript, and manuscript is approved by all authors for publication. We would like to declare that the work described was original research that has not been published previously, and not under consideration for publication elsewhere, in whole or in part.

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The MATLAB codes used to generate the results are available in the supplementary material.

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Chunyan, L., Lu, W. & Jingzhe, L. Importance analysis of different components in a multicomponent system under fuzzy inputs. Struct Multidisc Optim 65, 93 (2022). https://doi.org/10.1007/s00158-022-03189-x

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  • DOI: https://doi.org/10.1007/s00158-022-03189-x

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