Probabilistic Fault Modeling
Probabilistic Fault Modeling is a fault modeling approach that characterizes the likelihood and impact of faults using probabilistic distributions, distinguishing itself from deterministic methods by incorporating uncertainty and statistical behavior in fault occurrence and propagation.
433
Publications
19.9K
Citations
1.2K
Authors
527
Institutions
Publications per year
2017–2026
111
Variants
Probabilistic Fault Modelling
Parents
433
Spectrum-Based Multiple Fault Localization
Peter Zoeteweij, Arjan J. C. van Gemund · 2009 · 398 citations
1–5 of 433
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527
Tsinghua University
Beijing, China
12 h-index
25 publications
844 citations

Centre National de la Recherche Scientifique
Paris, France
10 h-index
23 publications
668 citations
Stanford University
Stanford, United States
9 h-index
18 publications
1.2K citations

Huazhong University of Science and Technology
Wuhan, China
8 h-index
28 publications
846 citations
IBM (United States)
Armonk, United States
8 h-index
8 publications
281 citations

Ames Research Center
Mountain View, United States
8 h-index
18 publications
576 citations
State Key Laboratory of Industrial Control Technology
Hangzhou, China
7 h-index
13 publications
459 citations

Beihang University
Beijing, China
6 h-index
20 publications
702 citations
1–8 of 527
20 publications · 1.7K citations
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14 publications · 516 citations
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13 publications · 972 citations
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7 publications · 206 citations
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6 publications · 259 citations
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