Bayesian Fault Tree Analysis
Bayesian Fault Tree Analysis is a probabilistic risk assessment method that extends classical fault tree analysis by incorporating Bayesian networks to model uncertainties, update failure probabilities with observed data, and enable dynamic diagnosis of system failures.
61
Publications
3.9K
Citations
170
Authors
84
Institutions
Publications per year
2017–2026
35
Parents
61
Michael S. Hamada, Harry F. Martz, C. Shane Reese et al. · Reliability Engineering & System Safety · 2004 · 103 citations
Engineering, Computational Engineering, Systems Engineering +17
1–5 of 61
170
Università degli Studi del Piemonte Orientale “Amedeo Avogadro”, Italy
3 publications · 1.1K citations
3
h-index
Università degli Studi del Piemonte Orientale “Amedeo Avogadro”, Italy
3 publications · 1.1K citations
3
h-index
Institute of Infrastructure Technology Research and Management, India
2 publications · 106 citations
2
h-index
2
h-index
Università degli Studi del Piemonte Orientale “Amedeo Avogadro”, Italy
2 publications · 210 citations
2
h-index
1–5 of 170
84

Dalian Maritime University
Dalian, China
3 h-index
11 publications
237 citations

Università degli Studi del Piemonte Orientale “Amedeo Avogadro”
Vercelli, Italy
3 h-index
10 publications
2.7K citations
Northwest Institute of Nuclear Technology
Xi'an, China
2 h-index
4 publications
81 citations
Wuhan University of Technology
Wuhan, China
2 h-index
3 publications
160 citations

South China University of Technology
Guangzhou, China
2 h-index
2 publications
42 citations
Institute of Infrastructure Technology Research and Management
Ahmedabad, India
2 h-index
5 publications
259 citations

Dokuz Eylül University
Izmir, Türkiye
2 h-index
2 publications
158 citations
Memorial University of Newfoundland
St. John's, Canada
2 h-index
6 publications
1.8K citations
1–8 of 84
10 publications · 2.2K citations
10
h-index
4 publications · 308 citations
5
h-index
3 publications · 97 citations
3
h-index
2 publications · 171 citations
2
h-index
2 publications · 41 citations
2
h-index
1–5