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Cluster Computing
Published in: Cluster Computing 3/2019

08-03-2018

Study on the construction and application of discrete space fault tree modified by fuzzy structured element

Authors: Tie-Jun Cui, Sha-Sha Li

Published in: Cluster Computing | Special Issue 3/2019

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Abstract

Some fault data in an actual system operation has the strong discretization and big data characteristics. Meanwhile, the external factors affect the system reliability, and the change of factors may lead to the change of system reliability. At present, the methods in safety system engineering lack the ability to process the multi-factor influence and fault big data simultaneously. But these are the general problems that the actual system reliability analysis must face to be resolved. In order to solve the problems, on the basis of Discrete Space Fault Tree (DSFT), the Fuzzy Structured Element method is introduced to construct the Fuzzy Structured Element Discrete Space Fault Tree (EDSFT). The method can analyze the multi-factor influence on system reliability with DSFT, and use Fuzzy Structured Element (E) to denote the discrete characteristics of fault big data. The results of EDSFT with E can preserve the characteristics of the original fault data distribution and lay the foundation for the analysis of fault big data. The research is particularly suitable for the analysis of system reliability under the fault big data and multi-factor influence.
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Metadata
Title
Study on the construction and application of discrete space fault tree modified by fuzzy structured element
Authors
Tie-Jun Cui
Sha-Sha Li
Publication date
08-03-2018
Publisher
Springer US
Published in
Cluster Computing / Issue Special Issue 3/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-018-2342-5

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