Asset wall risk assessment based on fault trees and Bayesian networks

Hongyu Zhou; Yiming Yang; Yinghua Chen; Yanqin Ge; He Wang; Huizhi Hou

doi:10.1117/12.3032894

5 July 2024 Asset wall risk assessment based on fault trees and Bayesian networks

Hongyu Zhou, Yiming Yang, Yinghua Chen, Yanqin Ge, He Wang, Huizhi Hou

Proceedings Volume 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024); 131844A (2024) https://doi.org/10.1117/12.3032894
Event: 3rd International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 2024, Kuala Lumpur, Malaysia

Abstract

Grid companies in the investment process will occur due to the investment decision is unreasonable to make the unhealthy state assets redundant events, in order to measure the power grid in the future at a certain time node of the technical reform investment risk, put forward a combination of the asset wall theory of the grid main equipment asset wall risk, and accordingly put forward a fault tree and Bayesian network based on the asset wall risk assessment method. The fault tree model is constructed on the basis of comprehensive consideration of asset wall risk characteristics and transformed into a Bayesian network, and the Bayesian network model of asset wall risk causation is further constructed separately by the Bayesian network method. In this way, we analyze the relationship chain of asset wall risk factors and key causes.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Hongyu Zhou, Yiming Yang, Yinghua Chen, Yanqin Ge, He Wang, and Huizhi Hou "Asset wall risk assessment based on fault trees and Bayesian networks", Proc. SPIE 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 131844A (5 July 2024); https://doi.org/10.1117/12.3032894

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