Name
Title | ||
|---|---|---|
Assessing the Influence of an Individual Event in Complex Fault Spreading Network Based on Dynamic Uncertain Causality Graph. |
Abstract | ||
|---|---|---|
Identifying the pivotal causes and highly influential spreaders in fault propagation processes is crucial for improving the maintenance decision making for complex systems under abnormal and emergency situations. A dynamic uncertain causality graph-based method is introduced in this paper to explicitly model the uncertain causalities among system components, identify fault conditions, locate the f... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/TNNLS.2016.2547339 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Complex systems,Heuristic algorithms,Prediction algorithms,Power system dynamics,Fault diagnosis,Power grids,Uncertainty | Complex system,Graph,Causality,Computer science,Fault management,Prediction algorithms,Betweenness centrality,Artificial intelligence,Probabilistic logic,Fault propagation,Machine learning,Distributed computing | Journal |
Volume | Issue | ISSN |
27 | 8 | 2162-237X |
Citations | PageRank | References |
6 | 0.47 | 20 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chunling Dong | 1 | 29 | 2.18 |
| Yue Zhao | 2 | 186 | 33.54 |
| Qin Zhang | 3 | 53 | 8.07 |