BN-RA: A Hybrid Model for Risk Analysis of Overload-Induced Early Cable Fires
Source abstract
Abstract
Cable overload is one of the most critical contributors to early cable fires. This study proposes a hybrid Bayesian network (BN)-based fire risk analysis model, to investigate the evolution of overload-induced early cable fire risks. In particular, the fire risk transmission paths caused by cable overload are reported, considering the critical factors that likely lead to fires. A BN with a specific structure was considered using the fire risk transmission paths. Later, given the risk index system, a hybrid fire risk assessment model caused by cable overload was developed based on the entropy weight method. Subsequently, the corresponding risk levels were evaluated based on the evolution of the fire risk, using numerical simulations. Finally, a case study was conducted to validate the proposed methods, and the results indicated that the proposed methods can effectively evaluate the state of the cable and explain the causes of fire risk, which can be used for early fire warnings.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Risk and Safety Analysis · Fire dynamics and safety research · Traffic and Road Safety
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Research Institute of Macro-Safety Science, School of Civil & Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China
Department of Civil and Earth Resources Engineering, Graduate School of Engineering, Katsura Campus, Kyoto University, Kyoto 615-8540, Japan
Department of Statistics & Operations Research, College of Sciences, King Saud University, Riyadh 4545, Saudi Arabia
Funding
National Natural Science Foundation of China Grant · Researchers Supporting Project number, King Saud University, Riyadh, Saudi Arabia
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