Fault propagation influence analysis method combining improved ASP and DWNodeRank

Aiming at the problem of fault propagation influence analysis, an improved fault propagation influence analysis method combining ASP and DWNodeRank algorithm is proposed based on the analysis of the influencing factors of fault propagation. In order to reflect the difference of fault propagation probability between units, the weight of directed edge in the network is used to replace the information propagation rate in ASP index; Because DWNodeRank algorithm only considers the influence between adjacent nodes, it is improved by calculating the importance influence of third-order neighborhood nodes according to the third-order influence principle; Aiming at the problem that neither of the two algorithms can fully consider the influencing factors of fault propagation, combined with their advantages, a fusion improved algorithm is proposed. Taking NC machining center as an example, it shows that the fusion improved algorithm is more suitable for fault propagation influence analysis.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/icemce64157.2024.10862523
Primary Topic
Advanced Computational Techniques and Applications
Type
article
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Fault propagation influence analysis method combining improved ASP and DWNodeRank

Shihan Zhang, Yi Zhang, Liang Guo, Peng Wang et al.
Advanced Computational Techniques and Applications
article

Fault propagation influence analysis method combining improved ASP and DWNodeRank

Shihan Zhang, Yi Zhang, Liang Guo, Peng Wang, Zhang Shi
article en

Abstract

Aiming at the problem of fault propagation influence analysis, an improved fault propagation influence analysis method combining ASP and DWNodeRank algorithm is proposed based on the analysis of the influencing factors of fault propagation. In order to reflect the difference of fault propagation probability between units, the weight of directed edge in the network is used to replace the information propagation rate in ASP index; Because DWNodeRank algorithm only considers the influence between adjacent nodes, it is improved by calculating the importance influence of third-order neighborhood nodes according to the third-order influence principle; Aiming at the problem that neither of the two algorithms can fully consider the influencing factors of fault propagation, combined with their advantages, a fusion improved algorithm is proposed. Taking NC machining center as an example, it shows that the fusion improved algorithm is more suitable for fault propagation influence analysis.

Jinzhou Central Hospital (CN), Chinese People's Liberation Army (CN)
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Advanced Computational Techniques and Applications
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