Risk Analysis Method of Aviation Critical System Based on Bayesian Networks and Empirical Information Fusion Article Swipe
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.3390/electronics14122496
The intrinsic hazards associated with high-pressure hydrogen, combined with electromechanical interactions in hybrid architectures, pose significant challenges in predicting potential system risks during the conceptual design phase. In this paper, a risk analysis methodology integrating systems theoretic process analysis (STPA), D-S evidence theory, and Bayesian networks (BN) is established. The approach employs STPA to identify unsafe control actions and analyze their loss scenarios. Subsequently, D-S evidence theory quantifies the likelihood of risk factors, while the BN model’s nodal uncertainties to construct a risk network identifying critical risk-inducing events. This methodology provides a comprehensive risk analysis process that identifies systemic risk elements, quantifies risk probabilities, and incorporates uncertainties for quantitative risk assessment. These insights inform risk-averse design decisions for hydrogen–electric hybrid powered aircraft. A case study demonstrates the framework’s effectiveness. The approach bridges theoretical risk analysis with early-stage engineering practice, delivering actionable guidance for advancing zero-emission aviation.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/electronics14122496
- https://www.mdpi.com/2079-9292/14/12/2496/pdf?version=1750393405
- OA Status
- gold
- References
- 60
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4411451555
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4411451555Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/electronics14122496Digital Object Identifier
- Title
-
Risk Analysis Method of Aviation Critical System Based on Bayesian Networks and Empirical Information FusionWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
-
2025-06-19Full publication date if available
- Authors
-
Xiangjun Dang, Yongxuan Shao, Haoming Liu, Zhe Yang, Manli Zhong, Maohua Sun, Wu DengList of authors in order
- Landing page
-
https://doi.org/10.3390/electronics14122496Publisher landing page
- PDF URL
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https://www.mdpi.com/2079-9292/14/12/2496/pdf?version=1750393405Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/2079-9292/14/12/2496/pdf?version=1750393405Direct OA link when available
- Concepts
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Bayesian network, Risk analysis (engineering), Aviation, Process (computing), Construct (python library), Risk assessment, Computer science, Hazard, Risk management, Systems engineering, Engineering, Reliability engineering, Operations research, Machine learning, Computer security, Aerospace engineering, Organic chemistry, Programming language, Operating system, Economics, Medicine, Chemistry, ManagementTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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60Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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