Bayesian Network Diagnosis
Bayesian Network Diagnosis is a diagnostic framework that employs a Bayesian network—a directed acyclic graph representing probabilistic dependencies among variables—to model uncertain relationships in a domain and perform probabilistic inference for identifying the most likely故障 states or diseases given observed evidence.
452
Publications
19K
Citations
1.4K
Authors
562
Institutions
Publications per year
2017–2026
142
452
Dynamic Bayesian Network for Aircraft Wing Health Monitoring Digital Twin
Chenzhao Li, Sankaran Mahadevan, You Ling et al. · AIAA Journal · 2017 · 379 citations
1–5 of 452
1.4K
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562
Memorial University of Newfoundland
St. John's, Canada
9 h-index
27 publications
3.1K citations
China University of Petroleum, East China
Qingdao, China
9 h-index
20 publications
3.6K citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
22 publications
573 citations
Stanford University
Stanford, United States
7 h-index
14 publications
1K citations
Carnegie Mellon University
Pittsburgh, United States
7 h-index
13 publications
1.2K citations
Universidade de São Paulo
São Paulo, Brazil
7 h-index
16 publications
706 citations
Tsinghua University
Beijing, China
7 h-index
20 publications
652 citations
Ospedali Riuniti di Ancona
Ancona, Italy
7 h-index
13 publications
302 citations
1–8 of 562
Repository · 12 publications · 348 citations
11
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Repository · 8 publications · 334 citations
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Repository · 6 publications · 179 citations
6
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5 publications · 326 citations
5
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5 publications · 486 citations
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