Risk analysis for consumer-level utility gas and liquefied petroleum gas incidents using probabilistic network modeling: A case study of gas incidents in Japan
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DOI: 10.1016/j.ress.2018.12.008
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Cited by:
- Liu, Cuiwei & Wang, Yazhen & Li, Xinhong & Li, Yuxing & Khan, Faisal & Cai, Baoping, 2021. "Quantitative assessment of leakage orifices within gas pipelines using a Bayesian network," Reliability Engineering and System Safety, Elsevier, vol. 209(C).
- Ruiz-Tagle, Andres & Lopez-Droguett, Enrique & Groth, Katrina M., 2022. "A novel probabilistic approach to counterfactual reasoning in system safety," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
- Lam, C.Y. & Tai, K., 2020. "Network topological approach to modeling accident causations and characteristics: Analysis of railway incidents in Japan," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
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Keywords
Safety analysis; Incident investigation; Complex network theory; Gas incidents; Case study in Japan;All these keywords.
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