Name
Abstract | ||
|---|---|---|
Diagnosis is the task of explaining abnormal behaviors of systems like telecommunication, transportation or energy systems. Given a sequence of observations the problem is to determine, on-line, all faults that are in line with these observations. Many approaches tackle this problem but they either require domain expertise or a formal description of how observations and faults are connected. This limits their scope to the diagnosis of well-understood faults. We address the problem of diagnosing faults that may occur for the first time and present a new diagnosis approach that integrates techniques for analyzing semantic descriptions of observations and faults. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.3233/978-1-61499-419-0-1091 | Frontiers in Artificial Intelligence and Applications |
Field | DocType | Volume |
Subject-matter expert,Computer science,Semantic Web,Formal description,Artificial intelligence,Machine learning | Conference | 263 |
ISSN | Citations | PageRank |
0922-6389 | 0 | 0.34 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anika Schumann | 1 | 103 | 13.12 |
| Freddy Lécué | 2 | 634 | 50.52 |
| Joern Ploennigs | 3 | 300 | 32.75 |