Name
Abstract | ||
|---|---|---|
In this design study, we present IRVINE, a Visual Analytics (VA) system, which facilitates the analysis of acoustic data to detect and understand previously unknown errors in the manufacturing of electrical engines. In serial manufacturing processes, signatures from acoustic data provide valuable information on how the relationship between multiple produced engines serves to detect and understand ... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/TVCG.2021.3114797 | IEEE Transactions on Visualization and Computer Graphics |
Keywords | DocType | Volume |
Engines,Acoustics,Labeling,Annotations,Task analysis,Automotive engineering,Data visualization | Journal | 28 |
Issue | ISSN | Citations |
1 | 1077-2626 | 1 |
PageRank | References | Authors |
0.35 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joscha Eirich | 1 | 1 | 0.69 |
| Jakob Bonart | 2 | 1 | 0.35 |
| dominik jackle | 3 | 58 | 8.66 |
| Michael Sedlmair | 4 | 915 | 51.74 |
| Ute Schmid | 5 | 224 | 44.20 |
| Kai Fischbach | 6 | 284 | 32.81 |
| Tobias Schreck | 7 | 1854 | 123.28 |
| Jürgen Bernard | 8 | 334 | 32.32 |