Abstract | ||
---|---|---|
Cyberphysical systems (CPSs) are vulnerable to catastrophic fault propagation due to the strong connectivity among their subsystems. This article introduces a learning-based method to enable CPSs to explain their faults to human users, facilitating effective and efficient collaborative error diagnosis. |
Year | DOI | Venue |
---|---|---|
2021 | 10.1109/MC.2021.3078694 | Computer |
DocType | Volume | Issue |
Journal | 54 | 9 |
ISSN | Citations | PageRank |
0018-9162 | 0 | 0.34 |
References | Authors | |
0 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ziquan Deng | 1 | 0 | 0.34 |
Zhaodan Kong | 2 | 0 | 0.34 |