Dreher, Daniel ; Schmidt, Marius ; Welch, Cooper ; Ourza, Sara ; Zündorf, Samuel ; Maucher, Johannes ; Peters, Steven ; Dreizler, Andreas ; Böhm, Benjamin ; Hanuschkin, Alexander (2020)
Deep feature learning of in-cylinder flow fields to analyze cycle-to-cycle variations in an SI engine.
In: International Journal of Engine Research, 22 (11)
doi: 10.1177/1468087420974148
Article, Bibliographie
This is the latest version of this item.
| Item Type: | Article |
|---|---|
| Erschienen: | 2020 |
| Creators: | Dreher, Daniel ; Schmidt, Marius ; Welch, Cooper ; Ourza, Sara ; Zündorf, Samuel ; Maucher, Johannes ; Peters, Steven ; Dreizler, Andreas ; Böhm, Benjamin ; Hanuschkin, Alexander |
| Type of entry: | Bibliographie |
| Title: | Deep feature learning of in-cylinder flow fields to analyze cycle-to-cycle variations in an SI engine |
| Language: | English |
| Date: | 4 December 2020 |
| Publisher: | Sage Publications |
| Journal or Publication Title: | International Journal of Engine Research |
| Volume of the journal: | 22 |
| Issue Number: | 11 |
| DOI: | 10.1177/1468087420974148 |
| Corresponding Links: | |
| Divisions: | 16 Department of Mechanical Engineering 16 Department of Mechanical Engineering > Institute of Automotive Engineering (FZD) 16 Department of Mechanical Engineering > Institute of Reactive Flows and Diagnostics (RSM) |
| Date Deposited: | 02 Sep 2022 06:14 |
| Last Modified: | 29 Nov 2023 06:14 |
| PPN: | |
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| Suche nach Titel in: | TUfind oder in Google |
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Deep feature learning of in-cylinder flow fields to analyze cycle-to-cycle variations in an SI engine. (deposited 28 Nov 2023 10:36)
- Deep feature learning of in-cylinder flow fields to analyze cycle-to-cycle variations in an SI engine. (deposited 02 Sep 2022 06:14) [Currently Displayed]
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