Name
Abstract | ||
|---|---|---|
•Propose a novel hybrid approach to develop a multi-data-driven BN risk model based on AIS data and subjective judgements.•Introduce a target-free data learning approach to train data-driven BNs using AIS data.•Apply the hybrid approach in an emerging research topic of vessels and offshore wind farm collision.•Establish an effective risk model to support offshore wind farm collision avoidance and decision-making.•Demonstrate advantages of the new risk model through real case analysis. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.ress.2020.107086 | Reliability Engineering & System Safety |
Keywords | DocType | Volume |
AIS data,Offshore wind farm,Bayesian network,Maritime safety,Maritime risk,Evidential reasoning,Ship collision | Journal | 203 |
ISSN | Citations | PageRank |
0951-8320 | 2 | 0.39 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Qing Yu | 1 | 2 | 1.07 |
| Kezhong Liu | 2 | 3 | 1.08 |
| Chia-Hsun Chang | 3 | 2 | 0.39 |
| Zai-Li Yang | 4 | 112 | 13.72 |