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Steinberg, Dominik (2024) Condition Monitoring for Heliostat Fields Using Artificial Intelligence. Doctoral Symposium of the DLR Graduate Program, 2024-09-03 - 2024-09-05, Braunschweig, Deutschland.
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| Item URL in elib: | https://elib.dlr.de/208226/ | ||||||||
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| Document Type: | Conference or Workshop Item (Speech, Poster) | ||||||||
| Title: | Condition Monitoring for Heliostat Fields Using Artificial Intelligence | ||||||||
| Authors: |
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| Date: | 2024 | ||||||||
| Refereed publication: | No | ||||||||
| Open Access: | No | ||||||||
| Gold Open Access: | No | ||||||||
| In SCOPUS: | No | ||||||||
| In ISI Web of Science: | No | ||||||||
| Status: | Published | ||||||||
| Keywords: | Condition Monitoring, Predictive Maintenance, Heliostat, Heliostat fields, Artificial Intelligence, Machine Learning, Data Analysis, Ageing effects, Fault detection, Central receiver, Solar power tower, CSP | ||||||||
| Event Title: | Doctoral Symposium of the DLR Graduate Program | ||||||||
| Event Location: | Braunschweig, Deutschland | ||||||||
| Event Type: | Workshop | ||||||||
| Event Start Date: | 3 September 2024 | ||||||||
| Event End Date: | 5 September 2024 | ||||||||
| HGF - Research field: | Energy | ||||||||
| HGF - Program: | Materials and Technologies for the Energy Transition | ||||||||
| HGF - Program Themes: | High-Temperature Thermal Technologies | ||||||||
| DLR - Research area: | Energy | ||||||||
| DLR - Program: | E SW - Solar and Wind Energy | ||||||||
| DLR - Research theme (Project): | E - Condition Monitoring | ||||||||
| Location: | Jülich | ||||||||
| Institutes and Institutions: | Institute of Solar Research > Qualification | ||||||||
| Deposited By: | Steinberg, Dominik | ||||||||
| Deposited On: | 11 Nov 2024 10:34 | ||||||||
| Last Modified: | 11 Nov 2024 10:34 |
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